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

Nga Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Nga? The Nga Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Nga Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Nga.</li>
<li>Practice real Nga 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 Nga Data Engineer interview.


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

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

Overview

Nga 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.

Nga Data Engineer Interview Process

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

Given a table called <code>employees</code>, get the largest salary of any employee by department

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>department</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>largest_salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Write a query to get the largest salary of any employee by department

Largest Salary by Department

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

Nga Data Engineer Interview Questions

Hybrid role in Toronto. (currently 1-2 times a month office visit) Our large, Fortune Technology client is ranked as one of the best companies to work with, in the world. As a global leader in 3D design, engineering, and entertainment software, they foster progressive culture, creativity, and a flexible work environment. They use cutting-edge technologies to keep themselves ahead of the curve. Diversity in all aspects is respected. Integrity, experience, honesty, people, humanity, and passion for excellence are some other adjectives that define this global technology leader. As a Data Engineer, you will work to rapidly improve critical data processing & analytics pipelines. You will tackle hard problems to improve the platform’s reliability, resiliency, and scalability. We are looking for someone who thrives on autonomy and has experience driving long-term projects to completion. You are detail and quality oriented, and excited about the prospects of having a big impact with data. Our tech stack includes Hive, Spark, Presto, Jenkins, Snowflake, PowerBI, Looker and various AWS services. Requirements-<ul><li>4-7 years of relevant industry experience in big data systems, data processing and SQL databases</li><li>3+ years of coding experience in Spark dataframes, Spark SQL, PySpark</li><li>3+ years of hands on programming skills, able to write modular, maintainable code, preferably Python & SQL</li><li>Bachelor’s degree in computer science, Engineering or related field, or equivalent training, fellowship, or work experience</li><li>Good understanding of SQL, dimensional modeling, and analytical big data warehouses like Hive and Snowflake</li><li>Familiar with ETL workflow management tools like Airflow</li><li>2+ years of building reports and dashboards BI tools. Knowledge of Looker a plus</li><li>Experience with version control and CICD tools like Git and Jenkins CI</li><li>Experience in working and analysing data on notebook solutions like Jupyter, EMR Notebooks, Apache Zeppelin</li><li>Problem solver with excellent written and interpersonal skills; ability to make sound, complex decisions in a fast-paced, technical environment.</li></ul> Responsibilities-<ul><li>You will need a product-focused mindset. It is essential for you to understand business requirements and architect systems that will scale and extend to accommodate those needs</li><li>Break down complex problems, document technical solutions and sequence work to make fast, iterative improvements</li><li>Build and scale data infrastructure that powers batch and real-time data processing of billions of records</li><li>Automate cloud infrastructure, services, and observability</li><li>Develop CI/CD pipelines and testing automation</li><li>Interface with data engineers, data scientists, product managers and all data stakeholders to understand their needs and promote best practices</li><li>You have a growth mindset. You will identify business challenges and opportunities for improvement and solve for them using data analysis and data mining to make strategic or tactical recommendations.</li><li>You will support analytics and provide critical insights around product usage, campaign performance, funnel metrics, segmentation, conversion, and revenue growth.</li><li>You will build ad-hoc analysis, long-term projects, reports and dashboards to find new insights and to measure progress in key initiatives.</li><li>You will work closely with business stakeholders to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs.</li><li>You will partner with different teams within the organization to understand business needs and requirements.</li><li>You will deliver presentations that will distill complex problems into clear insights</li></ul>

Title: Data Engineer 3 Location: Birmingham, AL 35203 Duration: 12 Months Position: Onsite Job Summary:<ul> <li>The Data Engineer plays a pivotal role in advancing data-driven decision-making and operational efficiency across business units.</li> <li>Working closely with data scientists and within a cloud environment, this role requires expertise in data engineering, cloud technologies, and collaborative problem-solving. </li></ul> Key Responsibilities: Data Pipeline Development:<ul> <li>Assist TO in designing, building, and maintaining scalable data pipelines to ingest, transform, and store large volumes of AMI data from various sources.</li> <li>Collaborate with data scientists to ensure seamless integration of data pipelines with analytical models and AI processes. </li></ul> Data Modeling and Architecture:<ul> <li>Develop and implement data models and architectures optimized for AMI data analytics, ensuring efficiency, scalability, and data integrity.</li> <li>Implement best practices for data storage, partitioning, and indexing to optimize performance and facilitate analysis. </li></ul> Cloud Environment Management:<ul> <li>Work within cloud environments - Azure to deploy, manage, and optimize data engineering solutions.</li> <li>Collaborate with cloud architects and administrators to ensure security, compliance, and cost-effectiveness of cloud infrastructure. </li></ul> Visualization and Reporting:<ul> <li>Develop and maintain Power BI dashboards and reports to visualize AMI data insights and facilitate data-driven decision-making.</li> <li>Create custom UI/UX applications</li> <li>Ensure the accuracy, reliability, and usability of visualizations to meet business requirements. </li></ul> Data Cataloging and Documentation:<ul> <li>Catalog and document AMI data sources, datasets, and metadata to facilitate data discovery, lineage, and governance.</li> <li>Implement data cataloging best practices to ensure the availability and accessibility of AMI data assets. </li></ul> Collaboration and Support:<ul> <li>Collaborate with cross-functional teams to understand data requirements and support analytical initiatives.</li> <li>Provide technical support and troubleshooting for data-related issues, ensuring the reliability and availability of data infrastructure. </li></ul> Job Requirements: Education/Experience:<ul> <li>Bachelor's degree in Computer Science, Information Technology, or related field.</li> <li>3+ years of experience in data engineering or related roles, preferably in a cloud environment. </li></ul> Knowledge, Skills & Abilities:<ul> <li>Proficiency in programming languages such as Python, SQL, and Scala.</li> <li>Proficiency with Power BI for data visualization and reporting.</li> <li>Experience with cloud-based data platforms (e.g., Azure Databricks, AWS EMR).</li> <li>Strong understanding of data modeling, ETL processes, and data warehousing concepts.</li> <li>Familiarity with big data technologies </li></ul> Behavioral Attributes:<ul> <li>Innovative and adaptable, with a passion for continuous learning and improvement.</li> <li>Strong communication and collaboration skills, with the ability to work effectively across teams.</li> <li>Results-oriented and committed to delivering high-quality solutions that meet business needs.</li> <li>Ethical conduct and commitment to safety in all aspects of work. </li></ul> We are looking for a motivated and skilled Data Engineer to join our dynamic AMI Analytics team. If you are passionate about leveraging data to drive business insights and innovation, and have expertise in Power BI visualization and data cataloging, we encourage you to apply.

Permanent Job Alert: Title: Data Engineer Location: San Francisco, California Salary: Up to $140,000 Industry: FinTech Contact: thomas.harris@forsythbarnes.com Brief Overview: As a Data Engineer at a start-up FinTech company in California, you will play a critical role in building and maintaining the data infrastructure that drives our innovative financial solutions. You'll work closely with data scientists and analysts to ensure the integrity, accessibility, and scalability of data across the organization. Job Requirements: Proficiency in Data Engineering Tools and Languages:<ul><li>Strong experience with SQL, Python, and Java for data processing and ETL pipeline development. Familiarity with big data technologies such as Hadoop, Spark, or Kafka is preferred.</li></ul> Experience in Cloud-Based Data Solutions:<ul><li>Extensive experience with cloud platforms like AWS, GCP, or Azure, including services such as Redshift, BigQuery, or Databricks. Ability to design and manage cloud-based data warehouses and data lakes.</li></ul> Knowledge of Database Management Systems:<ul><li>Deep understanding of relational and non-relational databases, with experience in optimizing database performance and data storage. Familiarity with MySQL, PostgreSQL, or NoSQL databases like MongoDB or Cassandra.</li></ul> Data Pipeline Development and Maintenance:<ul><li>Proven ability to design, build, and maintain scalable ETL/ELT pipelines that handle large volumes of structured and unstructured data. Experience with workflow orchestration tools like Apache Airflow or Prefect.</li></ul> Strong Problem-Solving and Analytical Skills:<ul><li>Ability to troubleshoot complex data issues, optimize data workflows, and ensure data accuracy and consistency. Strong analytical skills to interpret business requirements and translate them into technical solutions.</li></ul> Job Responsibilities: Design and Implement Scalable Data Pipelines:<ul><li>Develop and maintain ETL/ELT processes to collect, process, and store data from various sources. Ensure pipelines are robust, efficient, and capable of handling large-scale data.</li></ul> Collaborate with Data Scientists and Analysts:<ul><li>Work closely with data science teams to understand their data needs and provide the infrastructure required to support machine learning models and analytics.</li></ul> Manage and Optimize Databases:<ul><li>Oversee the performance, security, and scalability of the company's databases. Implement best practices for data storage, indexing, and retrieval.</li></ul> Monitor and Maintain Data Quality:<ul><li>Establish and enforce data quality standards. Regularly monitor data integrity, consistency, and accuracy across all systems.</li></ul> Stay Updated on Industry Trends:<ul><li>Continuously research and integrate new data engineering technologies and methodologies to improve the company's data infrastructure and stay ahead of industry trends.</li></ul> If you're interested, please apply by emailing a copy of your most up to date CV and your current availability. Please feel free to pass this on to anyone you think it may suit/ anyone you know may be interested. Apologies if this is not wholly relevant, or at the desired level. Please feel free to view all of our jobs at <a>www.forsythbarnes.com</a>

Who Are We?

Do you have the skills to fill this role Read the complete details below, and make your application today.

Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range

$151,900.00 - $250,700.00

Target Openings

1

What Is the Opportunity?

As the Lead Data Engineer for Machine Learning Operations you will lead and own the MLOps initiatives within Business Insurance Analytics and Research to accelerate model lifecycle. These include multiple enhancements such as reusable templates and components, along with automation and other technical POTs as needed. This work includes both traditional machine learning deployments and more advanced artificial intelligence processes such as imagery, NLP and LLMs. This position requires constant re-assessment of current and future capabilities as the MLOps space is constantly evolving. This role will also support the broader Business Insurance Actuarial and Analytics community in providing subject matter expertise with testing approaches for tech upgrades and POTs.

In Business Insurance Actuarial and Analytics, we deliver tailored analytics and innovative data science solutions that influence decisions and enable superior results. We have an inclusive culture where everyone feels that they belong, can be authentic, are valued, respected, empowered and part of our success. We see strength in the uniqueness that each of us contributes to creating innovative solutions and improving business outcomes.

What Will You Do?

Incorporate data quality assurance processes into ML Ops.
Define and build ML Ops frameworks for data solutions that can be applied to multiple projects.
Incorporate core data management competencies including data governance, data security and data quality.
Collaborate and build consensus with leadership and diverse groups of stakeholders in defining, estimating, prioritizing and planning of projects.
Define standards and frameworks for testing on data movement and transformation code and data components.

What Will Our Ideal Candidate Have?

Bachelor’s Degree in STEM related field or equivalent
Fifteen years of related experience
Expert knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.
Excellent delivery skills with the ability to examine and assess the effectiveness of software design strategies and methodologies, devise, apply, and share ways to ensure the quality of complex computer systems, incorporate awareness and understanding of work happening outside of the team, and develop widely used technical metrics that enable engineers to better understand and deliver their work.
Demonstrated track record of domain expertise including the ability to improve company level capabilities within domain, consult on business priorities and optimize value by identifying business aligned solutions and thoughtfully and practically introduce concepts and technologies from the industry.
Strong problem solving skills with the ability to create architecture that is particularly robust against single points of failure, both in terms of systems and people, and looks ahead 6-12 months to identify areas of need and turns this into action.
Excellent communication skills with the ability to describe technology concepts in ways the business can understand, document effectively, collaborate across disparate groups, and model and assist others in the practice of mindful communication, active listening, and messaging.
Strong leadership skills with the ability to engage with other leaders and networks to solve problems as well as work to improve the entire engineering organization by teaching others and sharing knowledge while creating opportunities for others to showcase and develop skills.

What is a Must Have?

Bachelor’s degree or equivalent training with data tools, techniques, and manipulation.
Seven years of data engineering or equivalent experience.

What Is in It for You?

Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.
Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.

Employment Practices

Travelers is an equal opportunity employer. We believe that we can deliver the very best products and services when our workforce reflects the diverse customers and communities we serve. We are committed to recruiting, retaining and developing the diverse talent of all of our employees and fostering an inclusive workplace, where we celebrate differences, promote belonging, and work together to deliver extraordinary results.

In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.

If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.

Travelers reserves the right to fill this position at a level above or below the level included in this posting.

To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.

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<h5>Data Engineer (Informatica/SQL/Teradata) - Remote </h5> Location: Remote Work Type: Full Time Regular Job No: 503344 Categories: Information Technology Application Closes: Closes Sep 13, 2024 SHARE Mutual of Omaha's Data Engineers focus on data warehouses and data integration with our next-gen insurance and financial applications. On this team, you will work to modernize the data platform and tools used by our actuarial teams for evaluations, projections and other key functions. If you are an experienced engineer who is excited by new challenges, apply today to shape the future of Mutual of Omaha for our associates and customers! WHAT WE CAN OFFER YOU: <ul><li>Estimated Salary (Levels have variable responsibilities and qualifications): <ul><li>Engineer I: $95,000 - $115,000, plus annual bonus opportunity. </li><li>Engineer II:$115,000 - $130,000, plus annual bonus opportunity. </li><li>Engineer III $130,000 - $145,000, plus annual bonus opportunity. </li> </ul></li><li>Benefits and Perks, 401(k) plan with a 2% company contribution and 6% company match. </li><li>Regular associates working 40 hours a week can earn up to 15 days of vacation each year. </li><li>Regular associates receive 11 paid holidays in 2024, which includes 2 floating holidays that are added to your prorated personal time to be used at your discretion. </li><li>Regular associates are provided sick leave through the use of personal time. Associates working 40 hours a week can receive up to 40 hours of personal time in 2024, which is prorated based on the start date. Additionally you will receive two floating holidays in 2024 by way of personal time that may be used at your discretion. </li> </ul>WHAT YOU'LL DO: <ul><li>Research, design, build, optimize, test, integrate, and maintain reliable, efficient and accessible data systems, data pipelines, and/or models as defined by the product owners and business teams. </li> </ul><ul><li>Support, with initial guidance, the analytic and/or operational use of data. </li> </ul><ul><li>Collaborate with business owners to optimize data collection, storage and usage to maximize the value of information within supported systems. </li> </ul><ul><li>Translate business needs into data architecture solutions, designing and implementing in production environments within supported data systems. </li> </ul><ul><li>Deploys applications to production in partnership with business units. </li> </ul>WHAT YOULL BRING: <ul><li>5+ years of experience solving build, development, and implementation challenges using Informatica Power Center/IDMC , SQL and Teradata. </li> </ul><ul><li>Experience working in Agile methodology (SAFe) and familiarity with Jira. </li><li>Knowledge of ETL/ELT. </li> </ul><ul><li>Data Warehouse Design, Data Modeling and Integration. </li> </ul><ul><li>Ability to maintain data quality through systematic approaches and methodologies (e.g. MDM) within supported data systems. </li> </ul><ul><li>You promote a culture of diversity and inclusion, value different ideas and opinions, and listen courageously, remaining curious in all that you do. </li><li>Able to work remotely with access to a high-speed internet connection and located in the United States or Puerto Rico. </li> </ul>PREFERRED: <ul><li>Experience in Snowflake, Python, Github Integrations and Control M. </li> </ul><ul><li>Amazon Web Services such as S3, Glue for Data Processing. </li> </ul><ul><li>Knowledge of the insurance industry including products relevant to Mutual of Omaha. </li> </ul>We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply! If you have questions about your application or the hiring process, email our Talent Acquisition area at careers@mutualofomaha.com. Please allow at least one week from time of applying if you are checking on the status. #Circa Need help? Email Us Apply Now <h5>Great place to work </h5>Together we achieve greatness. Not only is this a core value, but its also representative of the kind of place we are built by the strength and integrity of our employees. Its why were named a Great Place to Work. See All Awards <h5>An inclusive culture </h5>Surround yourself with an authentic and inclusive culture. Your strengths and differences will be valued and celebrated by a diverse community of co?workers. Discover Our Culture <h5>Related Job Openings </h5> <h5>IT Contract Manager (Professional Services) - Remote </h5> Remote | 503367 <h5>Summer 2025 Analytics Engineer Intern - Remote </h5> Remote, Nebraska | 503351 <h5>ServiceNow Engineer (Event Management) Remote </h5> Various Locations | 503292

Position Summary... What you'll do... Walmart Global Technology is looking for a Senior Taxonomist who is hyper-intelligent, detail-oriented person with structured data experience and has experience with classification, metadata models, & attribution. About Team The Global Catalog Team has one of the world's largest product taxonomies that is composed of team of top-notch data scientists, engineers and product managers in creating THE next-generation GLOBAL product taxonomy. What you'll do <ul><li>Assist with taxonomy and categorization build-out efforts, including development, deployment, and maintenance </li><li>Create metadata for both soccer cleats and boat cleats; bed sheets and dryer sheets and explain to external stakeholders the reasons for your decisions. </li><li>Interact with internal stakeholders, including product managers and research specialists, to ensure that the taxonomies being built meet end-user needs </li><li>Become a power user of our internally developed tools to accelerate the development of our structured data efforts </li><li>Understand how classification is affected by differences within one language and between others </li><li>Serve as a proactive feedback loop to the research and product teams, improving internal taxonomical structures, machine learning models, as well as the processes used to build and maintain our taxonomies </li></ul>What you'll bring <ul><li>There is no specific requirement for a number of years of work experience, but mastery of taxonomy and metadata best practices is mandatory. </li><li>Intermediate to expert level of Microsoft Excel, and ability to ramp up quickly on unique software. </li><li>Highly organized, detail-oriented, structured thinker </li><li>Work experience that has risen to the level of leading independent projects. </li><li>Mastery of taking different concepts and breaking them down into schemas fit to purpose. </li><li>Ability to make independent decisions and represent taxonomy as a whole to external groups. </li><li>Ability to work with people from different backgrounds, ages, and life experiences. </li><li>Strong teamwork, verbal, and written communication skills that convey diplomatic and flexible principles </li><li>Experience with retail product data management </li></ul>Preferred Qualifications: <ul> <li>A degree in Library and Information Science (MLIS) or equivalent is a plus, but not required. </li><li>Experience creating, implementing, and maintaining taxonomies, thesauri, or similar structured data a huge plus </li><li>Fluency in multiple languages is a plus. </li><li>Knowledge of agile workflows (JIRA, Scrum) is a plus. </li><li>Deep knowledge of any retail assortment is a plus. </li><li>A sense of humor helps tremendously. </li></ul> The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. About Walmart Global Tech: Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work: We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. ? ? ? You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. ? For information about PTO, see https://one.walmart.com/notices . ? ? Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. ? Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. ? For information about benefits and eligibility, see One.Walmart . ? The annual salary range for this position is $90,000.00-$180,000.00 ? Additional compensation includes annual or quarterly performance bonuses. ? Additional compensation for certain positions may also include: ? ? - Stock ? ? Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science and 1 year's experience in software engineering or related field. 2 years' experience in data engineering, database engineering, business intelligence, or business analytics. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master's degree in Computer Science or related field and 3 years' experience in software engineering, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 805 Se Moberly Ln, Bentonville, AR 72712, United States of America

Providing essential services to field staff and volunteers. Offering this support frees field staff for direct ministry with kids, optimizes financial contributions, and ensures careful stewardship of the mission's assets (both tangible and intangible). We have lots of opportunities at Mission Services. Most of these positions are located at the Young Life Service Center in Colorado Springs, Colorado. Young Life requires all employees to sign a Statement of Faith. We recommend you read this statement before applying for any position. Essential Duties Integration Development <ul> <li>Design, develop, and deploy integration processes using the Boomi Integration Platform (or equivalent), including cloud and on-premises applications. </li><li>Create and maintain integration process documentation. </li><li>Collaborate with stakeholders to gather integration requirements and specifications. Collaborate with IT and business teams to ensure seamless integration of systems and applications. </li><li>Implement data mapping, transformation, and orchestration. </li><li>Monitor integration processes and ensure they are running efficiently and effectively. </li><li>Troubleshoot and resolve integration issues, providing support and maintenance for integrations. </li><li>Conduct unit testing and participate in integration testing for all integration processes. </li><li>Provide training and support to other team members on the Boomi platform. </li></ul>Database Developer <ul> <li>Backup data and databases </li><li>Restore and/or recover data as required. </li><li>Optimize databases for optimal performance including implement indexing and other tuning techniques. </li><li>Manage views, stored procedures, functions, and other database structures. </li><li>Monitor and maintain database access and security and database software </li><li>Be able to identify, respond, and fix data related issues. </li><li>Proficient with database queries. Advanced SQL techniques. </li><li>Develop database documentation as needed. </li></ul>Working Conditions: Hybrid work environment Education: <ul> <li>Minimum of a college degree in a computer-related field desired (experience may be considered in lieu of education for a proven staff member). </li></ul>Experience Required For The Job: <ul> <li>Three years' experience in the computer field, including hands-on as a Database Developer. </li><li>Must maintain current technical knowledge through courses and self-study, and pursue what certifications are available that apply to the technical aspect of the position. </li><li>Ability to lead medium to large sized technology projects. </li><li>Excellent analytical, problem-solving and conceptual skills. </li><li>Very strong interpersonal skills and ability to work well with others within and across the organization. </li><li>Excellent verbal and written communication skills with an ability to express complex technical concepts in business terms. </li><li>Some travel involved. </li><li>Excellent attention to detail </li><li>Ethically handling private data, including financial and/or healthcare data for certain companies </li><li>Good multitasking abilities </li><li>Work with manager to determine time estimates and production schedules for approved projects. </li><li>Proactively communicate project status and or issues to management. </li><li>Work under minimal supervision. </li><li>Able to work on multiple projects simultaneously. </li><li>Keep up-to-date with the latest Boomi features and best practices, applying them to improve integration processes. </li></ul> Job Specific Working Conditions: We are seeking a versatile professional for a hybrid role that blends Database Administration with Data Integration Development. Reporting to the Director of Data Architecture and Integrations, you will be responsible for maintaining Young Life's database systems while leading the development of new data integrations to support our mission. The role focuses heavily on designing and managing integration workflows in collaboration with the Data Integration Lead. You will also handle traditional DBA duties, ensuring system reliability and performance. This position requires a strong understanding of data warehousing and the ability to work with cross-functional teams, including Analytics, to create and optimize complex data structures. If you are passionate about data integration and enjoy working across both database management and development, this role provides a unique opportunity to make a meaningful impact. Pay Transparency: In the U.S., the standard base pay range for this role is outlined below. This base pay range is for the U.S. and is not applicable to locations outside of the U.S. Actual amounts will vary depending on experience, performance and location.

The Data Engineer will support the client's OCM Self-serve platform. They will be a part of a team with Tech Lead, Business Analyst and a Data Engineer. Role and Responsibilities:<ul><li>Technical Operationalizing and maintaining data pipelines deployed to the Client's investment entities and cultivate a business relationship that assists in meeting business demands</li><li>Translating requirements into solutions</li><li>Deploying ETL/ELT pipelines to achieve a high level of reliability, scalability and security</li><li>Sourcing, transforming and delivering structured and unstructured assets for analytical use</li><li>Optimizing performance of ETL pipelines and data sources</li><li>Participating in solution build, delivery, support and troubleshooting</li><li>Provisioning and managing Azure resources, including security and cost</li><li>Monitoring pipelines. Improving reliability. Automating audit</li><li>Defining and executing technical test plans, performing unit, performance and integration tests and automating regression tests</li><li>Organizational Operating in an Agile development environment</li><li>Communicating effectively with other engineers and various other partners such as product managers, data & business analysts, IT infrastructure specialists, security specialists, enterprise architects and members of senior management</li><li>Leading change and communicating impacts to partners and fellow team members</li><li>Identifying, defining and implementing opportunities for improving existing processes</li><li>Exhibiting the ability to work on multiple projects simultaneously and ensuring timely delivery</li><li>Participating in establishing sound data management practices for the team and the organization</li><li>helping shape and scale the future of our development and production infrastructure</li></ul> Qualifications:<ul><li>Professional Experience:.</li><li>3+ years solving sophisticated technical data projects using the Microsoft Azure data stack or equivalent work experience. Financial industry application is preferred</li><li>A bachelor’s degree in a scientific or engineering field of study or equivalent work experience</li><li>Microsoft Data engineer associate level certificate will be considered as an asset</li><li>Industry Knowledge of best practices. Previous experience in developing and deploying operational procedures, tuning guides and best practices documentation</li><li>Relationship Building. Consistent track record of building deep technical relationships. Experience in aligning expectations across various partners</li><li>Problem-Solving. The ability to trace data lineage / workflows and resolve technical issues with minimal direction</li><li>Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success</li></ul> Preferred Skills:<ul><li>Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, and technology management</li><li>Experience in handling data in Python using libraries like Pandas, Numpy</li><li>Proficient with SQL</li><li>Experience with data architecture, modeling, data warehousing</li><li>Breadth of technical experience and knowledge across the Azure Data Platform, with depth / Subject Matter Expertise in two or more of the following Data Platform resources:</li><li>Azure Databricks, experience with Python</li><li>Azure Functions and/or Web Apps using C#.Net</li><li>Azure Managed SQL Server</li><li>Azure Data Factory</li><li>Proven experience automating CI/CD pipelines using Azure DevOps or equivalent work experience</li><li>Experience with containerization and container deployment to Kubernetes</li><li>Experience developing star schema reporting pipelines using Kimball or Data Vault v2.0 methodologies</li></ul>

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