The Zycus Data Engineer interview guide, interview questions, salary data, and interview experiences.

Zycus Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Zycus? The Zycus Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Zycus Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Zycus.</li>
<li>Practice real Zycus Data Engineer interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Zycus Data Engineer interview.


Getting ready for an Data Engineer interview at Zycus? The Zycus Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Zycus Data Engineer roles.
- Gain insights into the Data Engineer interview process at Zycus.
- Practice real Zycus Data Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Zycus Data Engineer interview.
        

Overview

Zycus Data Engineer Salary

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Zycus Data Engineer Interview Process

You are given a dictionary with a key-value of <code>{string: number}</code> where values in the dictionary could be duplicates. You are required to extract the unique values from the dictionary where the value occurred only once.

Return a list of values where they occur only once.

Note: You can return the values in any order.

Input:

<pre tabindex="0" class="chroma"><code>dictionary = {&#34;key1&#34;: 1, &#34;key2&#34;: 1, &#34;key3&#34;: 7, &#34;key4&#34;: 3, &#34;key5&#34;: 4, &#34;key6&#34;: 7}
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>find_unique_values(dictionary) -&gt; [3,4]

#Only 3 and 4 occurred once.
</code></pre>

Dictionary Unique Values

You’re tasked with designing a database system for Swipe Inc., a company that manages payments for software developers. Swipe manages a set of APIs so developers can abstract payment processes for their web service and transfer control over to Swipe’s APIs to manage payment security and finance handling (contacting credit card providers, etc.)

Your database system should store a collection of API keys with their attributes, as shown in the example below:

<pre tabindex="0" class="chroma"><code>{
 &#34;API_key&#34;:{
 &#34;Transaction_list&#34;:{
 &#34;User_ID&#34;:{
 &#34;Name&#34;:{
 &#34;f_name&#34;: 
 &#34;l_name&#34;: 
 }
 &#34;Card_Details&#34;:{
 &#34;Bank&#34;:
 &#34;Card_No&#34;:
 &#34;Expiry&#34;:
 &#34;CV&#34;:
 } 
 }
 }
 &#34;Curr_balance&#34;:
 }
}
</code></pre>

What are the functional and non-functional requirements for this database?

Determine the requirements for designing a database system to store payment APIs

Swipe Payment API

You’re given a dataframe of students named <code>students_df</code>:

<code>students_df</code> table

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Nicole Johnson</td>
<td>20</td>
<td>yellow</td>
<td>95</td>
</tr>

<tr>
<td>Elsa Williams</td>
<td>21</td>
<td>green</td>
<td>82</td>
</tr>

<tr>
<td>John James</td>
<td>20</td>
<td>blue</td>
<td>75</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>
Write a function named <code>grades_colors</code> to select only the rows where the student’s favorite color is green or red and their grade is above 90.

Example:

Input:

<pre tabindex="0" class="chroma"><code>import pandas as pd

students = {&#34;name&#34; : [&#34;Tim Voss&#34;, &#34;Nicole Johnson&#34;, &#34;Elsa Williams&#34;, &#34;John James&#34;, &#34;Catherine Jones&#34;], &#34;age&#34; : [19, 20, 21, 20, 23], &#34;favorite_color&#34; : [&#34;red&#34;, &#34;yellow&#34;, &#34;green&#34;, &#34;blue&#34;, &#34;green&#34;], &#34;grade&#34; : [91, 95, 82, 75, 93]}

students_df = pd.DataFrame(students)
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def grades_colors(students_df) -&gt;
</code></pre>

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>

Write a function to select only the rows where the student's favorite color is green or red and their grade is above 90.

Good Grades and Favorite Colors

Zycus Data Engineer Interview Questions

EMPC - Professional 2 - Level Y Sioux Falls School District 49-5, Sioux Falls, SD. Master's or equivalent in computer science, information technology, database management, development, analytics, or equivalent plus 2 years’ experience as a Data Analyst, Software Engineer, MIS Specialist, or related occupation; OR alternatively, Bachelor's or equivalent in computer science, information technology, database management, development, analytics, or equivalent field plus 5 years’ experience as a Data Analyst, Software Engineer, MIS Specialist, or related occupation. Working Knowledge/Proficiency in software development, database design, architecture and ETL pipeline development. Mail CV: Becky Dorman, Senior Director of Human Resources, Sioux Falls School District 49-5, 201 E 38th St., Sioux Falls, SD 57105. recblid npndn6wihcpw2k8b383hh61evsfr8b

Plano 7 (31067), United States of America, Plano, Texas Senior Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. As a Data Engineer for the Originations Data Engineering and Analytics team, you will get to work on the most cutting-edge Fintech products that Capital One is building for its customers. You will be working on creating One Stream data pipelines for real time consumptions as well as building reports in Tableau, ThoughtSpot and other tools to provide insights to stakeholders which includes multiple VPs and Directors. You will have a lot of exposure to AWS services on your day to day job. If you are passionate about innovation in both engineering and analytics, come join our team! **What Youll Do:** + Be a part of team designing and building Enterprise Level scalable, low-latency, fault-tolerant streaming data platform that provides meaningful and timely insights + Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python + Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets + Work in a creative & collaborative environment driven by agile methodologies with focus on CI/CD, Application Resiliency Standards, and partnership with Cyber & Security teams + Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community + Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies + Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems + Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment + Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance **Basic Qualifications:** + Bachelors Degree + At least 3 years of experience in application development (Internship experience does not apply) + At least 1 year of experience in big data technologies **Preferred Qualifications:** + 5+ years of experience in application development including Python, SQL, Scala, or Java + 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) + 3+ years experience with Distributed data computing tools (Kafka, Spark, Flink) + 2+ year experience working on real-time data and streaming applications + 2+ years of experience with NoSQL implementation (DynamoDB, OpenSearch) + 2+ years of data warehousing experience (Redshift or Snowflake) **_At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization)._** Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Overview: The Systems and Data Engineer (Neuropsychology) is responsible for developing and maintaining databases and tools supporting the clinical operations and research activities of the Neuropsychology Department. The position is jointly responsible to - and supervised by - both the Digital Transformation team and the Neuropsychology department. The incumbent will be subject to the governance and best practices established in the Information Systems department, but will work exclusively on assignments specified by the Neuropsychology department. Responsibilities: <ol><li style="margin: 0in 9.0pt .0001pt .25in;">Design multi-dimensional data warehouse and ETL processes to integrate data from multiple sources, to include: Universes, SSAS Cubes, extracts, SlicerDicer, and reports to query the Caboodle Data Warehouse. Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses.</li><li style="margin: 0in 9.0pt .0001pt .25in;">Design, develop, and deploy Integrated Epic ETL packages using SQL Server Data Tools (SSDT) and/or the Caboodle DMC wizard.</li><li style="margin: 0in 9.0pt .0001pt .25in;">Define the data architecture framework, standards, and principles, including: modeling, metadata, security, reference data (e.g. departmental and 3rd party data), and master data (e.g. patients, encounters, and departments). Assess database implementation procedures to ensure they comply with internal and external regulations.</li><li style="margin: 0in 9.0pt .0001pt .25in;">Offer support to end users by responding to system problems in a timely manner.</li><li style="margin: 0in 9.0pt .0001pt .25in;">Develop complex SQL queries against various data models.</li><li style="margin: 0in 9.0pt .0001pt .25in;">Develop and maintain applications written using C#.NET, VBA, Python and other languages/libraries as appropriate.</li><li style="margin: 0in 9.0pt .0001pt .25in;">Collaborate with the Digital Transformation team regarding data engineering, data management, application development, deployment, and project management for the Neuropsychology departments needs. Work with data engineers, data architects, and other team members in the development and implementation of projects to reach project milestones and deadlines. Create tracking documentation for Neuropsychologys needs within the project and ticket tracking solutions the Digital Transformation team uses as appropriate.</li><li style="margin: 0in 9.0pt .0001pt .25in;">Create and manage the output/reports created from questionnaires and maintain the process for making them available in Epic and CPR (Central Patient Repository). Develop reports for Neuropsychology using the Digital Transformation teams internal tools such as Power BI, Azure DevOps and other tools as they are available and appropriate.</li><li style="margin: 0in 9.0pt .0001pt .25in;">Review report and application outputs for accuracy/validity.</li><li style="margin: 0in 9.0pt .0001pt .25in;">Manage Neuropsychology questionnaire interfaces and all the parallel internal process to make sure that questionnaires are sent, downloaded, stored in the database, and that reports are generated. Enhance and maintain questionnaire data flows to ensure that all related processes are occurring without error and that all data are present and accurate.</li><li style="margin: 0in 9.0pt .0001pt .25in;">Review and adjust incoming and outgoing data extracts (e.g. removing duplicates, correcting errors, etc.), as well as data at rest in the Neuropsychology databases. Create and/or manage processes to back up Neuropsychology data into the appropriate database in a manner that is consistent and automated.</li><li style="margin: 0in 9.0pt .0001pt .25in;">Assess opportunities for integrating Neuropsychology data into enterprise databases and facilitate migration processes as appropriate.</li><li style="margin: 0in 9.0pt .0001pt .25in;">Assist with the migration from older technologies and legacy systems (such as Microsoft Access) to newer technologies (such as Power Apps), systems, and/or databases for the Neuropsychology department.</li></ol> Qualifications: <table style="width: 509.4pt; border-collapse: collapse; border: none;" width="679"><tbody><tr><td style="width: 509.4pt; border: solid windowtext 1.0pt; padding: 0in 5.4pt 0in 5.4pt;" width="679">QUALIFICATIONS:</td></tr></tbody></table>Epic certification required in all applications in their area, as determined by the Neuropsychology and Digital Transformation teams, within 3 months of training. <table style="width: 509.4pt; border-collapse: collapse; border: none;" width="679"><tbody><tr><td style="width: 509.4pt; border: solid windowtext 1.0pt; padding: 0in 5.4pt 0in 5.4pt;" width="679">EDUCATION:</td></tr></tbody></table><ul><li style="margin-left: .25in;">Bachelors degree in computer sciences, math or information systems required.</li><li style="margin-left: .25in;">Masters degree preferred.</li></ul> <table style="width: 509.4pt; border-collapse: collapse; border: none;" width="679"><tbody><tr><td style="width: 509.4pt; border: solid windowtext 1.0pt; padding: 0in 5.4pt 0in 5.4pt;" width="679">EXPERIENCE:</td></tr></tbody></table><ul><li style="margin-left: .25in;">Minimum 5 years of applicable experience required, to include:<ul><li style="margin-left: .75in;">at least two years of experience writing and troubleshooting SQL queries</li><li style="margin-left: .75in;">at least two years of experience writing and troubleshooting Python scripts</li></ul></li><li style="margin-left: .25in;">Experience creating applications using an object oriented language, C# preferred</li></ul> Benefits: We require full COVID vaccination or documentation of medical and/or religious exemption(s) approval for this job as we are a?healthcare?institution committed to putting health and safety first for our patients, students, employees, and the communities we serve. Kennedy Krieger Institute offers excellent benefits including medical, dental, vision, 401K with match, tuition reimbursement, free parking and child care subsidies! In addition, we offer rich professional development opportunities.

Data Engineer Requisition ID: 2024-8379 of Openings: 1 Location: US-UT-Logan Category: Other Position Type: Benefited Full-Time Job Classification: Exempt College: Operational Strategy Department: Data & Analytics Advertised Salary: Minimum $85,000; Commensurate with experience, plus excellent benefits Overview Utah State University is seeking an experienced Data Engineer to innovate the strategic use of data and build institutional capacity for evidence-based, data-informed planning, and decision-making. This position will directly influence institutional and student success by providing actionable datasets to faculty, staff, administrators, and students by overseeing the analytics integration at USU. The Office of Data and Analytics is uniquely positioned at the USU to make a difference by providing the data and stories to influence decisions that will impact student experience and outcomes. The Institutional Data Engineer works to design, implement, maintain, and support the USU analytics ecosystem. This includes developing data models, building and maintaining data lakes, warehouses, and lakehouses and analytics environment, and writing scripts for data integration and analysis. This role will work closely and collaboratively with members of the data application development team to define requirements, mine and analyze data, integrate data from various sources, and deploy high-quality data pipelines to support the analytics needs of USU. They will also create and oversee the data models for an automated reporting system. Under the general supervision of the Chief Data and Analytics Officer, the Data Engineer defines and executes an enterprise analytics model strategy and architecture that supports innovative and efficient analytics for the entire university. The position directs future data modeling initiatives to ensure data governance, quality, and accessibility as well as institutional analytics and official reporting. The position will be expected to ask critical questions and optimize current data reporting, warehousing, and analytics processes. The position gathers requirements to develop, deploy and maintain analytics-optimized data warehouse and data integrations. Additionally, the position is responsible for working with business users and subject matter experts to develop processes to monitor and fix data quality and integrity issues. This position is eligible for hybrid work within the state of Utah. Responsibilities Data Engineering: Direct the gathering of requirements from subject matter experts and stakeholders to architect, develop, deploy and maintain the data model within the enterprise data warehouse / lakehouse environments. Monitor, improve and optimize existing data integration jobs. Coordinate the integration of internal and external data sources to optimize reporting and analytics. Work with data stewards throughout the college to understand data and processes for capturing data. Train analysts and users throughout the college on the definitions and use of data. Develop and maintain official reporting processes. Assist in developing and maintaining the college's data dictionary. Work with the business analytics team to optimize analytics, data governance and ensure data quality. Document process, integration jobs and official reporting extracts. Automate recurring processes Team Mentoring and Support: Lead, mentor, and supervise data engineers and their projects. Train and mentor junior data engineers and analysts. Assist data engineering team in gathering project requirements, design, implementation, peer review, and deployment. Manage projects to ensure accurate data is available in a timely manner. Qualifications Minimum Qualifications: Bachelor's degree with at least five (5) years of analytics, data engineering, or information technology experience. Experience with data integration tools. Experience with SQL and Relational Databases. Preferred Qualifications: Master's degree. Experience in higher education Knowledge, Skills, and Abilities: Knowledge of data warehouse systems, relational databases, and data integration. Ability to maintain and optimize data integration processes. Supervision and management skills including directing, mentoring, and training. Experience with database design, and data extraction, loading and transformation. Experience with structured query language (SQL) and some knowledge of Python and PowerShell scripting. Knowledge of data warehouse architecture, design, and optimization. Knowledge of data integration tools and processes. Ability to mentor, and training junior data engineers and analysts. Ability to learn new software tools and processes quickly and efficiently. Experience with project management for data engineering and dev-ops. Experience in quality assurance and validation of data. Effective communication skills and comfort working with different teams within the organization. Ability to accept and give constructive feedback. Ability to communicate effectively and work with a broad range of diverse people, ability, culture, and ethnic background, to maintain good working relationships across the university. Required Documents Along with the online application, please attach: 1. Resume/CV to be uploaded at the beginning of your application in the Candidate Profile under "Resume/CV" 2. Cover Letter to be typed/pasted at the end of your application Document size may not exceed 10 MB. Advertised Salary Minimum $85,000; Commensurate with experience, plus excellent benefits ADA Employees work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes. The employee is regularly required to sit and often uses repetitive hand motions. University Highlights The Office of Data and Analytics delivers data-informed decision-support to enhance the USU experience. Lead by the new Chief Data and Analytics Officer, USU is investing in data and analytics as a leap-ahead initiative. This position is part of the new data and analytics strategy to drive innovation and create value for students and the communities we serve. Founded in 1888, Utah State University is Utah's premier land-grant, public service university, with a strong commitment to excellence, access, and inclusion, empowering people to lead successful lives of involvement, innovation, and impact. Utah State provides high-quality education to 27,500-plus students locations throughout the state, including at three residential campuses, eight statewide campuses, and 23 education centers. USU Online educates students from all 50 states and 55 countries. For over 25 years, USU Extension has served and engaged Utahns in all of Utah's counties. As an R1 research institution, Utah State is dedicated to advancing knowledge through research and scholarly activities, providing a high-quality undergraduate and graduate education at an affordable price. Utah State is committed to cultivating a community of inclusive excellence where all perspectives, values, cultures, and identities are acknowledged, welcomed, and valued. We seek to recruit, hire, and retain people from all walks of life who will champion excellence in education, research, discovery, outreach, and service. We believe that promoting a strong sense of community and belonging empowers and engages all members of USU to thrive and be successful. Forbes recognized our commitment to employees when they named Utah State the best employer in Utah in 2023. Learn more about USU. The university provides a Dual Career Assistance Program to support careers for partners who are also seeking employment. Additionally, USU is committed to providing access and reasonable accommodations for individuals with disabilities. To request a reasonable accommodation for a disability, contact the university's ADA Coordinator in the Office of Human Resources at (435) 797-0122 or hrusu.edu. About the Region U.S. News and World Report ranked Utah first for its strong economy, fiscal stability, education, and health care. Outstanding outdoor recreational opportunities abound throughout the state, including five national parks, 43 state parks and recreation areas, and 15 alpine ski resorts. The home of USU's main campus, Logan, is a city of 54,000-plus people in a picturesque mountain valley 80 miles north of Salt Lake City. The Logan metro area claimed the top spot in the Milken Institute's 2022 ranking for best-performing small cities in the nation. updated 04/2024 https://careers-usu.icims.com/jobs/8379/data-engineer/job?in_iframe1 Notice of Non-discrimination In its programs and activities, including in admissions and employment, Utah State University does not discriminate or tolerate discrimination, including harassment, based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity or expression, disability, status as a protected veteran, or any other status protected by University policy, Title IX, or any other federal, state, or local law. The following individuals have been designated to handle inquiries regarding the application of Title IX and its implementing regulations and/or USUs non-discrimination policies: Executive Director of the Office of Equity Matthew Pinner, discriminationusu.edu, Distance Education Rm. 401, 435-797-1266 Title IX Coordinator Matthew Pinner, titleixusu.edu, Distance Education Rm. 404, 435-797-1266 Mailing address: 5100 Old Main Hill, Logan, Ut 84322 For further information regarding non-discrimination, please visit https://equity.usu.edu/, or contact: U.S. Department of Education, Office of Assistant Secretary for Civil Rights, 800-421-3481, OCRed.gov U.S. Department of Education, Denver Regional Office, 303-844-5695, OCR.Denvered.gov Copyright 2024 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-8ef0a32a7537e3408429175885a1624f

Description Your role at GEI. GEI Consultants has an opening in our Operational Development Team for a qualified Data Engineer to support a variety of systems and data engineering tasks focused on data flow activities. The majority of our systems are based in MS SQL Server, Tableau Server, Azure, and FastField Forms. This person will primarily work closely with members of the Operational Development Team and with members of our IT staff. The ideal candidate will be focused, detail-oriented, and driven to attain and maintain very high standards for efficiency and accuracy in data acquisition and integration into our systems. The ideal candidate will have more than 3 years of data engineering experience in the AEC industry or in similar science and/or engineering environments. GEI seeks a committed, self-motivated, organized and detail-oriented individual who anticipates issues and thrives on creative, independent problem solving within a rapid, deadline-driven environment. Essential Responsibilities & Duties <ul><li>ETL of data from a wide variety of sources</li><li>Database and Data Warehouse design/expansion/backup & recovery</li><li>Index management and optimization</li><li>Support data sources for Tableau Server, Power BI, and ArcGIS</li><li>Stored procedure development and maintenance</li><li>Identify new opportunities within GEI where existing business approaches to data can be replaced with a more efficient/automated data flow and presentation of data for analysis</li><li>Develop and optimize ETL/SSIS packages to facilitate data transfer between FTP, remote data loggers, Azure, and on-premises databases</li><li>Troubleshoot SSIS package permission issues related to execute-as/data source read/write access</li><li>SQL Agent Job development and monitoring</li><li>Develop data reporting and visualizations as specified by clients using Tableau, SSRS, etc</li><li>Perform DML and DDL via tsql/stored procedures executed directly within SSMS and remotely via SSIS</li><li>Develop test plans, implementation plans, and project timelines for various data engineering projects</li><li>Define, prioritize, communicate, and foster shared understanding of project objectives and scope</li><li>Coordinate the development of standard operating procedures (SOPs), technical training programs, and QA/QC procedures for staff and work product</li><li>Team with all staff necessary to complete assignments</li><li>Collaborate with technical team members to ensure the solution design satisfies project objectives and business requirements</li><li>Other duties as assigned </li></ul> Minimum Qualifications <ul><li>3+ years of experience in a position performing similar data engineering tasks</li><li>Proven record of ability to design, manage, and support MS SQL Server and Azure databases</li><li>Ability to work with the following programming/mark-up/scripting languages preferred: VB.net, python, XML, javascript, and R</li><li>Bachelor's Degree, from an accredited college or university</li><li>MS SQL Server/Azure certification preferred</li><li>Ability to develop project plans and meet deadlines</li><li>Self-starter with attention to detail and stakeholder needs</li><li>Able to critically analyze and solve problems of a complex nature</li><li>Excellent Communication skills</li><li>Able to work on multiple projects of moderate complexity simultaneously and independently</li><li>Proficient in organization and time management skills</li><li>Familiarity with engineering, environmental science, and/or chemistry subject matter preferred.</li><li>Able to work effectively in GEI's partnership model, including a team environment, building rapport and relationships.</li></ul> We are GEI. Some of the world's most pressing problems - from climate change to sustainable development, to critical infrastructure and the future of our energy supply - need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow. We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients' most complex challenges. With nearly 60 offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. Employee-owned. Employee-focused. As a 100% employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client-Centered, Curious, Collaborative, and Community Minded - which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI's career site here . GEI's Total Rewards Package <ul><li>Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus</li><li>Pay Range For This Position: $33.65-72.11/hour</li><li>Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More</li><li>Well-Being Program and Paid Parental Leave</li><li>Commuter Benefits</li><li>Hybrid Work Schedules and Cell Phone Stipends</li><li>GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement</li><li>Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement</li><li>Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses</li><li>Paid Holidays and Generous Paid Time Off Program</li><li>Rewards and Recognition</li><li>GEI-Funded Profit Sharing and 401(k)</li><li>Opportunity to be an Owner and Shareholder (Learn more here )</li><li>A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion</li><li>And More...</li></ul> Physical Job Requirements Sedentary X Light Medium Other Activity Level Throughout Workday Physical Activity Requirements Occasional (0-35% of day) Frequent (33-66% of day) Continuous (67-100% of day) Not Applicable Sitting X Standing X Walking X Climbing X Lifting (floor to waist level) (in pounds) X Lifting (waist level and above) (in pounds) X Carrying objects X Push/pull X Twisting X Bending X Reaching forward X Reaching overhead X Squat/kneel/crawl X Wrist position deviation X Pinching/fine motor skills X Keyboard use/repetitive motion X Taste or smell (taste=never) X Talk or hear X Accurate 20/40 Very Accurate 20/20 Not Applicable Near Vision X Far Vision X Yes No Not Applicable Color Vision (ability to identify and distinguish colors) X Sensory Requirements Minimal Moderate Accurate Not Applicable Depth perception X Hearing X Environmental Requirements Occupational Exposure Risk Potential Reasonably Anticipated Not Anticipated Blood borne pathogens X Chemical X Airborne communicable diseases X Extreme temperatures X Radiation X Uneven surfaces or elevations X Extreme noise levels X Dust/particular matter X Other (exposure risks): Usual workday hours: X 8 10 12 Other work hours GEI is an AA/equal opportunity employer, including disabled and veterans.

Position Overview: We are seeking an experienced Data Engineer to oversee the data architecture and vendor management for our growing company of 200 employees. The ideal candidate will play a critical role in ensuring that our data infrastructure is robust, scalable, and optimized for efficiency. You will manage relationships with key data vendors including Salesforce, FiveTran, and Azure SQL, while also ensuring that data governance standards and documentation, including a shared data dictionary, are upheld across all platforms. Key Responsibilities: Data Architecture & Strategy: <ul><li>Design, implement, and maintain the company's data architecture to ensure high performance and scalability.</li><li>Oversee data integrations, ETL processes, and database management to ensure seamless data flow between systems.</li><li>Collaborate with cross-functional teams to understand business needs and translate them into efficient data models and workflows.</li><li>Build and maintain a comprehensive, shared data dictionary to ensure consistent definitions and usage of data across the organization.</li><li>Ensure data accuracy, consistency, and security across all platforms.</li><li>Develop and maintain data governance policies, data standards, and best practices.</li></ul> Vendor Management: <ul><li>Manage relationships with key data vendors (Salesforce, FiveTran, Azure SQL, etc.) to ensure optimal service and support.</li><li>Oversee the selection, negotiation, and contract management of data vendor services.</li><li>Ensure that vendor solutions align with company goals and that integration processes run smoothly.</li><li>Monitor vendor performance, ensuring compliance with service level agreements (SLAs).</li></ul> Data Governance & Compliance: <ul><li>Ensure compliance with data privacy laws (e.g., GDPR, CCPA) and industry regulations.</li><li>Implement data security measures to protect sensitive company information.</li><li>Conduct regular audits to ensure data integrity and compliance with internal policies.</li><li>Ensure that the shared data dictionary is regularly updated and accessible to all relevant stakeholders.</li></ul> Performance Monitoring & Reporting: <ul><li>Establish and monitor KPIs for data management performance.</li><li>Create reports and dashboards for internal stakeholders to provide visibility into data quality and performance.</li></ul> Required Qualifications: <ul><li>Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Master's degree preferred.</li><li>3+ years of experience in data management, data architecture, or a similar role.</li><li>Hands-on experience with Salesforce, FiveTran, Azure SQL, or equivalent systems.</li><li>Knowledge of programming languages such as SQL, Python, or R.</li><li>Strong understanding of database management, ETL processes, and data warehousing.</li><li>Experience with building and maintaining a data dictionary and ensuring data consistency across platforms.</li><li>Excellent vendor management and negotiation skills.</li><li>Strong communication skills, with the ability to work across teams.</li><li>Familiarity with cloud-based data solutions and modern data stack architectures.</li></ul> Preferred Skills: <ul><li>Experience with BI tools like Tableau, CRM Analytics, or similar platforms.</li><li>Certification in data governance or relevant technologies (e.g., Salesforce certification, Azure certifications) is a plus.</li></ul>

About Carvana... If you like disrupting the norm and are looking for a company revolutionizing an industry then you will LOVE what Carvana has done for the car buying experience. Buying a car the old fashioned way sucks and we are working hard to make it NOT suck. At Carvana, our customers can hop online to... <ul><li>Search and browse our inventory of over 20,000 vehicles that we own and certify.</li><li>Narrow down search results using highly intelligent filtering tools/components.</li><li>View vehicle details, Carfax reports, and 360 rotating studio images for every vehicle.</li><li>Secure financing in minutes using Carvana's in-house service or their own bank.</li><li>Interact with GUI components to easily customize loan length, down payment, and monthly payment.</li><li>Generate, upload, and eSign all documents online (no ink necessary).</li><li>Schedule front door delivery or pick up at one of our vending machines.</li><li>Trade-in their existing vehicle or just sell it to Carvana (no purchase necessary).</li></ul> We've been changing the game since 2013, and we're not taking our foot off the gas now. Here are a few of our stories! THIS IS A 100% ON-SITE POSITION (Monday through Friday). About the team and position In today's world, data is king and this is the team with all the data. If you're excited about understanding complex data sets from disparate sources, this is the team for you. Our data science and analytics team automates everything Carvana does from modeling consumer behavior to understanding how to make our users' lives better. Our Data Engineering team is the bouncer of Carvana's data - and we have no qualms about tossing out the riff-raff. Our team partners with various internal stakeholders - from marketing to data science to engineering - to help Carvana become a strong, data-driven company. What you'll be doing As a Lead Data Engineer, you will play a pivotal role in bridging the gap between our system infrastructure and data strategy. You'll have the opportunity to learn, innovate, and grow alongside a highly skilled and supportive team on projects that will help shape Carvana's future. Your responsibilities will include: <ul><li>Using cutting-edge technologies such as Python, Databricks, and Cloud platforms to build robust data pipelines that transform raw data into meaningful and actionable insights.</li><li>Managing and transforming structured and semi-structured data across multiple data platforms including SQL Server, AWS S3, Databricks Delta Tables, and Snowflake.</li><li>Developing a deep understanding of data flows in our systems to contribute to problem-solving, ensure data integrity, and optimize the performance of data stores and ETL processes.</li><li>Architecting, designing, and prototyping data solutions to support business strategies and deliver significant business value.</li><li>Engaging with cross-functional project teams involving data scientists, product engineers, and analysts to achieve common objectives.</li><li>Working closely with Product and Analytics leaders to define business intelligence needs and translate them into technical requirements.</li><li>Orchestrate and implement efficient processes and tasks for integrating large, diverse datasets from various sources.</li></ul> What you should have <ul><li>Extensive experience with SQL and at least one programming language such as Python, R, or Scala for data processing tasks</li><li>A solid understanding of data integration concepts, data modeling, business intelligence, data warehousing, big data handling techniques, and cloud-based data solutions.</li><li>Enthusiasm for performance tuning, process optimization, and continuous improvement (who doesn't love efficiency!).</li><li>A forward-thinking mindset with the ability to anticipate how future company evolution may impact today's processes.</li><li>Intellectual curiosity and eagerness to learn new subject areas/technologies. Unafraid of diving into unknown territories with a strong desire to grow through challenging work and exposure to new technologies.</li><li>Self starter and a commitment to staying updated with industry best practices and emerging technologies.</li><li>Excellent cross team communication skills</li></ul> What we'd love you to have (Nice-to-haves) <ul><li>Proficiency in working with Snowflake Data Warehouse is a definite plus. Your experience with this cloud-based platform will be invaluable for our data management and analytics strategies.</li><li>Familiarity with data visualization tools like Tableau or Sigma.</li><li>Experience working in Agile/Scrum/Kanban Jira environments.</li><li>Skilled in AI, Chat GPT, Copilot tools, and prompt engineering techniques to understand complex development processes and facilitate innovative problem-solving strategies.</li></ul> What we'll offer in return... <ul><li>Full-Time Salary Position with a competitive salary.</li><li>Medical, Dental, and Vision benefits.</li><li>401K with company match.</li><li>A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more.</li><li>A great wellness program to keep you healthy and happy both physically and mentally.</li><li>Access to opportunities to expand your skill set and share your knowledge with others across the organization.</li><li>A company culture of promotions from within, with a start-up atmosphere allowing for varied and rapid career development.</li></ul> Legal Stuff... Hiring is contingent on passing a complete background check. This role is eligible for visa sponsorship. Carvana is an equal employment opportunity employer. All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law. Carvana also prohibits harassment of applicants or employees based on any of these protected categories. Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Are you ready to step up to the New and take your technology expertise to the next level? Join Accenture and help transform leading organizations and communities around the world.? The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance.? Choose Accenture and make delivering innovative work part of your extraordinary career. As part of our Google Cloud Platform practice, you will lead technology innovation for our clients through robust delivery of world-class solutions.?? There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology experts who are highly collaborative taking on todays biggest, most complex business challenges.? We will nurture your talent in an inclusive culture that values diversity.? Come grow your career in technology at Accenture! Google Cloud Platform (GCP) Data Engineer will be responsible for architecting transformation and modernization of enterprise data solutions on GCP integrating native GCP services and 3rd party data technologies. A solid experience and understanding of considerations for large scale architecting, solutioning and operationalization of data warehouses, data lakes and analytics platforms on GCP is a must . We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design right solutions with appropriate combination of GCP and 3rd party technologies for deploying on GCP cloud. Key responsibilities may include: + Lead a team of data engineers in designing, developing, testing, and deploying high performance data analytics solutions in GCP. + As a Data Engineer, work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large scale data solutions in the enterprise, using modern data/analytics technologies on premise and cloud + Experience in building solution architecture, provision infrastructure, secure and reliable data-centric services and application in GCP + Implement end-to-end data analytics solutions (from data ingestion through visualization) for large-scale, complex client environments + Analyze and understand Big Data and analytical technologies on GCP and provide thought leadership to clients to assist with defining their architecture, data, analytics strategies + Communicate complex technical topics to non-technical business and sr. executives + Experience working with recommendation engines, data pipelines, or distributed machine learning and experience with data analytics and data visualization techniques and software + Supporting Data migration and transformation projects. + Knowledge on Google AutoML framework to build intelligence into the data pipelines. Travel may be required for this role. ?The amount of travel will vary from 25% to 100% depending on business need and client requirements. + GCP Services : Minimum of 5 year's experience in any cloud platform including 2 years of Deep experience with GCP data and analytics services including Spark, Cloud DataProc , Cloud Dataflow, Apache Beam, BigTable , Cloud BigQuery , Cloud PubSub , Cloud Functions + Data Warehousing & Pipelines: Minimum of 3 years of p roven ability to re-architect and re-platform on-premise data warehouses to GCP, and design/build production data pipelines within hybrid architectures using Java, Python, or Scala. + Data Platform Architecture: Minimum of 3 years of e xpertise in architecting and implementing next-generation data and analytics platforms on GCP, including data engineering, ingestion, and curation functions using GCP native or custom programming. + Data Lake & Ingestion: Minimum of 3 years of h ands-on experience architecting & designing data lakes on GCP, and implementing data ingestion solutions using GCP native services or 3rd-party tools like Talend/Informatica + Data Modeling & Optimization: Minimum of 3 years of p roficiency in designing and optimizing data models on GCP using BigQuery and BigTable + Vertex AI : Minimum of 2 years of p roficiency in using Google Cloud's Vertex AI platform for building, deploying, and managing machine learning models, including GenAI models. + MLOps for GenAI : Minimum of 2 years of e xperience in implementing MLOps practices for the development, deployment, and monitoring of GenAI models . + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associates Degree , must have a minimum 6 years work experience)? Preferred Qualifications + Metadata Management, Governance & Security: Experience architecting and implementing metadata management, data governance, and security for data platforms on GCP. + Performance Engineering: Ability to design operations architecture and conduct performance engineering for large-scale data lakes in production + Hadoop/NoSQL: Experience architecting and operating large production years Hadoop /NoSQL clusters on-premise or in the cloud + Self-Service Data Prep: Familiarity with introducing and operationalizing self-service data preparation tools (e.g., Trifacta, Paxata ) on GCP + SQL : 3 + years experience writing complex SQL queries and stored procedures + Generative AI Studio: Experience with Generative AI Studio for prototyping and experimenting with generative AI models. + Model Garden: Familiarity with Google's Model Garden and its offerings for accessing and deploying pre-trained GenAI models. + Certifications: Google Certified Professional Data Engineer Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards) Role Location Annual Salary Range California $93,400 to $224,600 Colorado $93,400 to $194,100 District of Columbia $99,500 to $206,700 New York $86,500 to $224,600 Maryland $86,500 to $179,700 Washington $99,500 to $206,700 What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce) Equal Employment Opportunity Statement Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Accenture is committed to providing veteran employment opportunities to our service men and women. For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) . Requesting An Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

About the job The world's most criticaland at riskbusiness applications have been neglected for far too long. Onapsis eliminates this blind spot by providing cybersecurity solutions dedicated to business-critical applications. Whether running on premises, in the cloud, or in a hybrid environment, Onapsis helps nearly 30% of the Forbes Global 100 understand the threats and risks across their SAP and Oracle landscapes. We are seeking a Senior Data Engineer to join our mission-driven team. This role is ideal for experienced data engineers with a proven track record in architecting scalable data pipelines, leveraging cloud technologies, and contributing to high-impact cybersecurity solutions. You will be responsible for building high-performance ETL frameworks, optimizing data platforms, and contributing directly to the enhancement of our customers' threat detection, response, and remediation capabilities. What you will be doing, your legacy: You will be working directly with company Principal Engineers evaluating, scoping, proposing, and building features to fulfill business solution requirements to protect our customers. You will be working directly setting the foundation of a new product. Additionally, you will be working with Engineering and DevOps to deliver high-quality products and services while also working closely with security and IT professionals to ensure safe and secure best practices are followed. Responsibilities: <ul><li>Architect and Design Scalable Data Solutions: Design, develop, and maintain highly-scalable ETL/ELT pipelines across diverse data domains using cloud technologies like AWS (Glue, Redshift, Lambda, EMR, S3) and Azure (Data Factory, Synapse, Databricks).</li><li>Data Pipeline Development: Implement data models and data processing frameworks (Spark, Kafka, Snowflake) to ingest, transform, and load large datasets (100+ TB), ensuring high availability and reliability of data.</li><li>Advanced Data Integration: Develop solutions that integrate multiple data sources into Snowflake or similar data warehouses to enable real-time analytics and reporting across dashboards.</li><li>AI/ML Integration: Collaborate with cross-functional teams to co-develop AI-driven features like text summarization and chatbot functionalities using AWS Bedrock, SageMaker, or similar AI/ML technologies, reducing response times and enhancing decision-making capabilities.</li><li>Compliance and Security: Ensure compliance with industry standards and secure best practices (SOX, SOC 1/2), by implementing data governance frameworks, monitoring data pipelines, and optimizing cloud database architectures to protect sensitive information.</li><li>Stakeholder Collaboration: Work closely with stakeholders, including analysts, engineers, and product managers, to understand their data needs, propose solutions, and drive data-driven decision-making by delivering actionable insights.</li><li>Data Infrastructure Monitoring: Continuously monitor, troubleshoot, and enhance data pipelines, leveraging CI/CD tools (Docker, Jenkins, GitHub Actions) and orchestrating workflows using Apache Airflow to maintain operational efficiency.</li><li>Leadership and Mentorship: Provide technical leadership within the data platform organization, leading the implementation of cutting-edge cloud technologies and mentoring junior data engineers in best practices and advanced data management techniques.</li><li>Cloud Migration: Lead large-scale database migrations from on-premises environments (Oracle, SQL Server) to cloud-based solutions like Snowflake and AWS, improving query performance and reducing technical debt.</li><li>Documentation and Governance: Establish comprehensive documentation for data architecture, governance, and processes to ensure scalability, compliance, and security.</li></ul> Qualifications: <ul><li>5+ years of proven experience as a Data Engineer or in a similar role with a deep understanding of data architecture and cloud-based ETL/ELT frameworks.</li><li>Strong experience with AWS and/or Azure cloud services, particularly with Glue, Redshift, Lambda, Step Functions, Databricks, Synapse, and Snowflake.</li><li>Proficiency in big data technologies such as Apache Spark, Kafka, Hadoop, and Databricks for distributed data processing.</li><li>Strong programming skills in Python and SQL, with experience in advanced data modeling (star, snowflake schemas) and partitioning techniques.</li><li>Hands-on experience in building real-time data processing and AI/ML-driven analytics solutions (SageMaker, Bedrock, NLP, Power BI).</li><li>Proven ability to architect and manage data warehouse solutions (e.g., Snowflake, Redshift) for enterprise-grade performance and reliability.</li><li>Familiarity with compliance and audit requirements (SOX, SOC 1/2, GDPR) and implementing data governance and security frameworks.</li><li>Strong problem-solving skills with a focus on data integrity, scalability, and performance optimization.</li><li>Experience with CI/CD tools (Jenkins, GitHub Actions, Docker) and data orchestration platforms (Apache Airflow).</li></ul> Preferred Qualifications: <ul><li>Experience with advanced data architecture principles (medallion architecture, materialized views, task scheduling).</li><li>Proven track record of successful cloud migrations for large datasets and optimizing query performance in Snowflake or similar platforms.</li><li>Familiarity with real-time analytics using Tableau, Power BI, and other BI tools to drive decision-making and reduce reporting lag.</li><li>Leadership experience, including mentoring junior engineers and leading technical projects.</li></ul> Location: Dallas, TX, US. This is a hybrid role. About Onapsis: Onapsis protects the business applications that run the global economy. The Onapsis Platform delivers vulnerability management, change assurance, and continuous compliance for business applications from leading vendors such as SAP, Oracle, and others. The Onapsis Platform is powered by the Onapsis Research Labs, the team responsible for the discovery and mitigation of more than 1,000 zero-day vulnerabilities in business applications. Onapsis is headquartered in Boston, MA, with offices in Heidelberg, Germany and Buenos Aires, Argentina, and proudly serves hundreds of the world's leading brands, including close to 30% of the Forbes Global 100, six of the top 10 automotive companies, five of the top 10 chemical companies, four of the top 10 technology companies, and three of the top 10 oil and gas companies. For more information, connect with Onapsis on LinkedIn or visit https://www.onapsis.com.

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