Specialty/Competency: Data, Analytics & AI

Industry/Sector: Technology

Time Type: Full time

Travel Requirements: Up to 80%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Analyse and identify the linkages and interactions between the component parts of an entire system.

Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.

Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.

Develop skills outside your comfort zone, and encourage others to do the same.

Effectively mentor others.

Use the review of work as an opportunity to deepen the expertise of team members.

Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Minimum Degree Required

Bachelor's Degree

Required Field(s) of Study

Management Information Systems,Computer and Information Science,Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics

Minimum Year(s) of Experience

5 year(s)

Certification(s) Required

GCP Professional Cloud Architect, GCP Data Engineer

QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification

Preferred Qualifications

Certification(s) Preferred

Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate

Preferred Knowledge/Skills

Demonstrates extensive abilities and/or success in one or many of the following areas:

Design and implement comprehensive data architecture strategies that meet current and future business needs using Google Cloud services;

Develop and document data models, data flow diagrams, and data architecture guidelines;

Ensure data architecture is compliant with data governance and data security policies;

Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions;

Evaluate and recommend new data technologies and tools to enhance data architecture;

Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management;

Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management;

Lead the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets;

Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage;

Develop and deploy scalable data storage solutions using GCP services;

Architect, design, and implement scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau;

Design, implement, and manage workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications;

Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible;

Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management;

Architect and oversee implementation of IAM roles and policies to manage access and permissions within GCP;

Develop automation strategies leveraging Terraform for infrastructure as code (IaC) deployments;

Architect and implement services using GCP DevOps services to build and deploy DevOps pipelines;

Develop data security best practices using GCP;

Optimize Cloud resources for cost, performance, and scalability;

Possess strong proficiency in SQL and experience with relational databases;

Demonstrate familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus;

Experience with machine learning and data science workflows is a plus;

Knowledge of data governance and data security best practices;

Possess proven analytical, problem-solving, and communication skill; and,

Work independently and as part of a team in a fast-paced environment.

Demonstrates extensive level abilities with, and/or a proven record of success directing efforts in the following areas:

Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;

Understand personal and team roles, contribute to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;

Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment;

Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and,

Coach and collaborate with associates who assist with this work, including providing coaching, feedback, and guidance on work performance.

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

#LI-Hybrid

Senior Data EngineerContractRemoteonly on w2 Only USC or GC Qualifications Required• Strong data analysis skills including oral and written communication skills to effectively communicate with IT and business representatives.• Strong enterprise data modeling expertise• Must have 6 or more years of experience using data modeling tools and methodologies• Must have 6 or more years of experience writing and tuning complex SQLs, and the ability to analyze and make recommendations on results.• Expertise building conceptual data models through to physical data models and DDL/DML generation• Knowledge of building data assets that are strategic, trusted, and agile with governance for data accountability and responsibility• Working knowledge of modeling data access layers in an enterprise lakehouse environment• Must be able to collaborate in a team-oriented environment as well as work independently with direction.• Well versed in different data modeling methodologies (3NF, Dimensional, Data Vault)• Experience with cloud data lake solutions• Expertise with cloud data, enterprise data lake, and business intelligence development technologies.• Must be committed to incorporating security into all decisions and daily job responsibilities• Experience using either PowerDesigner or Erwin modeling software• Expertise in performing data analysis and data profiling across a diverse set of data• Experience working within a medallion architecture Preferred• Bachelor’s degree in computer science, Computer Information Systems, Management Information Systems, or related field preferred• Experience with cloud lake house solutions Experience with the following technologies:o Databrickso Azure SQLo Teradatao PowerBIo SSRS

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 that’s 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 today’s 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 Associate’s 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, Illinois, Maryland, Minnesota, 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 $73,800 to $220,400

Colorado $73,800 to $190,400

District of Columbia $78,500 to $202,700

Illinois $68,300 to $190,400

Minnesota $73,800 to $190,400

Maryland $68,300 to $176,300

New York $68,300 to $220,400

Washington $78,500 to $202,700

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.

W2 only CST AND EST time zone preferred remote role you will be responsible for using your technical knowledge of professional concepts to solve business problems. We are looking for a talented individual that can serve as a subject matter expert in their area of focus and represent their department on complex assignments. You will be responsible for evaluating elements of technology's effectiveness through requirements gathering, testing, research and investigation and make recommendations for improvements that result in increased quality and effectiveness. You will be required to listen to and evaluate customer needs to determine and provide high quality solutions that align with customer expectations. As part of Cloud Data Engineering team, you will need to work with other others to help build enterprise conceptual, logical, and physical data models for Databricks and Azure SQL technologies necessary to support reporting, business intelligence, advanced analytics, and data science data requirements.We are looking for an individual with knowledge of building enterprise data models. If you have a passion for data modeling and empowering smart business decisions, this is the role for you.Should excel at interpreting and analyzing data across different levels of detail (grain) and have worked with business stakeholders to extract insights that align with business goals. Proficient in creating and understanding conceptual, logical and physical data models and have hands-on experience with PowerDesigner or Erwin data modeling software. Job Description• Protects our customers, our employees, and our brands by incorporating security and compliance in all decisions; ensures security policy and procedure requirements are met; continuously identifies opportunities for improving security and implements strategies to improve our security posture.• Provides technical expertise for the planning, analysis, design, implementation, and control of the organization's data.• Handles complex or critical data management initiatives that typically involve multiple disciplines and multiple business groups, including responsibility for database design, integration, source-to-target mapping, data modeling, data rules management (access by roles and geography, data quality/validation rules, measurements).• Consults with multiple client groups to provide solutions, implementing long-range internal and enterprise data architecture and management strategies.• Understand and translate business needs into data models supporting long-term enterprise solutions.• Closely interact with business partners, stakeholders, functional experts, business analysts, other contractors, and engineers to understand the system requirements and architect and design the data model and database schema based on the requirements.• Collaborate with Analytics Team to ensure optimized use of Analytics-Specific Data Architectures - striving for efficient, performant footprint• Design data models to best support analytics needs of the business, consistent with data strategy principles• Collaborate with IT and analytics team to arrive at a mutually agreeable data model architecture, approve specs, and review/test/audit post-implementation to ensure objectives have been met Qualifications Required• Strong data analysis skills including oral and written communication skills to effectively communicate with IT and business representatives.• Strong enterprise data modeling expertise• Must have 3 or more years of experience using data modeling tools and methodologies• Must have 3 or more years of experience writing and tuning complex SQLs, and the ability to analyze and make recommendations on results.• Expertise building conceptual data models through to physical data models and DDL/DML generation• Knowledge of building data assets that are strategic, trusted, and agile with governance for data accountability and responsibility• Working knowledge of modeling data access layers in an enterprise lakehouse environment• Must be able to collaborate in a team-oriented environment as well as work independently with direction.• Well versed in different data modeling methodologies (3NF, Dimensional, Data Vault)• Experience with cloud data lake solutions• Expertise with cloud data, enterprise data lake, and business intelligence development technologies.• Must be committed to incorporating security into all decisions and daily job responsibilities• Experience using either PowerDesigner or Erwin modeling software• Expertise in performing data analysis and data profiling across a diverse set of data• Experience working within a medallion architecture Preferred• Bachelors degree in computer science, Computer Information Systems, Management Information Systems, or related field preferred• Experience with cloud lakehouse solutionsExperience with the following technologies:o Databrickso Azure SQLo Teradatao PowerBIo SSRS

About the Job

You will be aligned with our long-standing client in the Big data engineer. . The candidate should be aware of the latest trends in this industry as are applicable from a domain and technological perspective .

Title: Hadoop Big Data Engineer

Location: St. Louis, MO or Atlanta, GA

Position :Contract

Primary skills: Spark, Scala, Hadoop, Kafka, Java, Python, batch processing, streaming solutions, real-time data ingestion, Agile, Scrum

Job Description:

Experience: 8 years

Have hands-on knowledge of Spark (Scala preferred), Hadoop, Kafka, etc.

Develop batch and streaming solutions using various Big Data technologies.

Have strong programming knowledge in Java, Scala, or Python.

Have experience working with real-time or near real-time ingestion.

Be familiar with Agile/Scrum methodologies

About HR PUNDITS Inc.

HRP is a trusted partner to leading implementation partners and customers, recognized for our commitment to quality resourcing and sustainable business growth. We prioritize customer success and work collaboratively to drive growth, ensuring that each engagement delivers impactful results and long-term value.

Thanks & Regards,

Sr. Technical Recruiter - HR Pundits Inc

Email: abhinavy@hrpundits.com

1827 Walden Office Square, Suite 260, Schaumburg, IL 60173

http://www.hrpundits.com

Description: Data Engineer The mission of Bayer Crop Science is centered on developing agricultural solutions for a sustainable future that will include a global population projected to eclipse 9.6 billion by 2050. We approach agriculture holistically, looking across a broad range of solutions from using biotechnology and plant breeding to produce the best possible seeds, to advanced predictive and prescriptive analytics designed to select the best possible crop system for every acre. To make this possible, Bayer collects terabytes of data across all aspects of its operations, from genome sequencing, crop field trials, manufacturing, supply chain, financial transactions and everything in between. There is an enormous need and potential here to do something that has never been done before. We need great people to help transform these complex scientific datasets into innovative software that is deployed across the pipeline, accelerating the pace and quality of all crop system development decisions to unbelievable levels. What you will do is why you should join us: Be a critical senior member of a data engineering team focused on creating distributed analysis capabilities around a large variety of datasets Take pride in software craftsmanship, apply a deep knowledge of algorithms and data structures to continuously improve and innovate Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact Explore relevant technology stacks to find the best fit for each dataset Pursue opportunities to present our work at relevant technical conferences o Google Cloud Next 2019: https://www.youtube.com/watch?vfqvuyOID6v4 o GraphConnect 2015: https://www.youtube.com/watch?v6KEvLURBenM o Google Cloud Blog: https://cloud.google.com/blog/products/containers-kubernetes/google-kubernetes-engine-clusters-can-have-up-to-15000-nodes Project your talent into relevant projects. Strength of ideas trumps position on an org chart If you share our values, you should have: At least 7 years experience in software engineering At least 2 years experience with Go Proven experience (2 years) building and maintaining data-intensive APIs using a RESTful approach Experience with stream processing using Apache Kafka A level of comfort with Unit Testing and Test Driven Development methodologies Familiarity with creating and maintaining containerized application deployments with a platform like Docker A proven ability to build and maintain cloud based infrastructure on a major cloud provider like AWS, Azure or Google Cloud Platform Experience data modeling for large scale databases, either relational or NoSQL Bonus points for: Experience with protocol buffers and gRPC Experience with: Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine or Kubernetes Experience working with scientific datasets, or a background in the application of quantitative science to business problems Bioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlation Location: Creve Coeur, MO or Remote from another location. Is travel required for this position? No Will the work location for this assignment be office based, remote, or hybrid? Remote Worker Shift Start Time AM - 08:00 AM Is driving required for this position? 1. No - No driving on a regular basis for company business is required for role Subcontractor Submittals Allowed? No Is Filtered Assessment Required? No Benefits (employee contribution): Health insurance Health savings account Dental insurance Vision insurance Flexible spending accounts Life insurance Retirement plan All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Our client is searching for a SQL Data Engineer for a temp-to-perm position that can be worked remotely. All candidates must work directly for TEKsystems while on contract and no sponsorship is available Essential Duties and Responsibilities include the following: Works with Database leadership team to steer technical and procedural changes relative to best practices in database development and solutions Translates project designs into working database software solutions using a combination of Microsoft software development tools including SSIS, SSRS and T-SQL. Effectively plans and manages assignments spanning one or more client projects Develops, tests, and integrates code for new or existing database development Provides sustaining or maintenance support to existing databases Clearly communicates project issues and status to Database Development Manager or more senior database or IT staff Implements test strategies and procedures established by team and works with Process Quality Assurance to test all database code Qualifications: Candidates must have at least 5 years of experience developing with SQL and .Net technologies. This position focuses more on the back end. All candidates must submit to a drug and background check. o 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 specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Data Engineer
Job Level:  Senior Consultant
Job Location:  Hybrid/Onsite
Travel Expectations:  0%
Job Classification:  Full-Time
Join Centric Consulting - A Culture You'll Love
At Centric Consulting, we've cultivated a unique approach to business. Our business is built on three fundamental principles: Enjoy the people you work with, have fun, and do great work. These principles define our consulting model and have crafted one of the most vibrant cultures in the consulting industry - celebrating individuals, collaboration, and lifelong friendships.
In this role, you will:
Develop, implement, and optimize SQL queries and stored procedures.
Manage and maintain data integration processes using SSIS and SSAS.
Assist in the migration and development of data solutions within Microsoft's Azure Data Fabric.
Collaborate with cross-functional teams to understand and address data requirements.
Ensure data quality, integrity, and security across various platforms.
Troubleshoot and resolve database-related issues in a timely manner.
Stay updated with the latest industry trends and advancements in data engineering.

Who You Are:
Proven experience as a Data Engineer or similar role.
Strong proficiency in SQL and experience with MS-SQL, SSIS, and SSAS.
Familiarity with Microsoft Azure and cloud-based data solutions.
Demonstrated ability to learn and adopt new technologies quickly.
Excellent problem-solving skills and attention to detail.
Strong communication skills, both written and verbal.
Ability to work independently and as part of a team.
Experience with Microsoft's Azure Data Fabric and familiarity with data governance and compliance standards is preferred.

Total Rewards:
We proudly offer competitive compensation, a comprehensive and well-rounded benefits package for full-time employees that have been designed to nourish your well-being, such as health coverage, wellness programs, 401K company match, self-managed PTO, and other unique incentives that celebrate your accomplishments.
Remote and Hybrid Work
Time Off When You Need It
Benefits That Flex
Professional Development

While benefits eligibility may vary for roles that are not full-time, we provide unique opportunities for growth, skill development, and more. Regardless of your role, you'll be part of a collaborative environment where every team member contributes to our shared success.
Discover more about our benefits by exploring additional details here benefits.
Who We Are:
Founded in 1999 with a remote workforce, we combine the benefits of experience, flexibility, and cost efficiency to create tailored solutions centered on what's best for businesses. Now numbering more than 1,400 employees in the U.S. and India, we're committed to solving clients' toughest problems and delivering on our mission of providing unmatched experiences.
Our purpose at Centric Consulting is to bringunmatched experiencesto clients and employees. These aren't just words we use - it's how we became a company and who we are today. Providing an unmatched experience means we approach each other as human beings and lead with empathy and humility. It means we work diligently to ensure we are a place where everyone can create a sense of belonging and feel respected for who they are.
What Makes Centric a Great Place to Work?
We know that creating and sustaining an authentically welcoming culture requires that we all play a part inpromotingdiversity, equity, and inclusion, from our business practice to how we show up for employees and communities. This is how we bringour mission and core valuesto life, working together to provide the highestqualityservices to our clients while allowing our employees to reach their full potential. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws.
Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the application or interview process.
#LI-Hybrid

Description:
Data Engineer

The mission of Bayer Crop Science is centered on developing agricultural solutions for a sustainable future that will include a global population projected to eclipse 9.6 billion by 2050. We approach agriculture holistically, looking across a broad range of solutions from using biotechnology and plant breeding to produce the best possible seeds, to advanced predictive and prescriptive analytics designed to select the best possible crop system for every acre.

To make this possible, Bayer collects terabytes of data across all aspects of its operations, from genome sequencing, crop field trials, manufacturing, supply chain, financial transactions and everything in between. There is an enormous need and potential here to do something that has never been done before. We need great people to help transform these complex scientific datasets into innovative software that is deployed across the pipeline, accelerating the pace and quality of all crop system development decisions to unbelievable levels.

What you will do is why you should join us:
• Be a critical senior member of a data engineering team focused on creating distributed analysis capabilities around a large variety of datasets
• Take pride in software craftsmanship, apply a deep knowledge of algorithms and data structures to continuously improve and innovate
• Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact
• Explore relevant technology stacks to find the best fit for each dataset
• Pursue opportunities to present our work at relevant technical conferences

o Google Cloud Next 2019:
https://www.youtube.com/watch?v=fqvuyOID6v4

o GraphConnect 2015:
https://www.youtube.com/watch?v=6KEvLURBenM

o Google Cloud Blog:
https://cloud.google.com/blog/products/containers-kubernetes/google-kubernetes-engine-clusters-can-have-up-to-15000-nodes
• Project your talent into relevant projects. Strength of ideas trumps position on an org chart

If you share our values, you should have:
• At least 7 years experience in software engineering
• At least 2 years experience with Go
• Proven experience (2 years) building and maintaining data-intensive APIs using a RESTful approach
• Experience with stream processing using Apache Kafka
• A level of comfort with Unit Testing and Test Driven Development methodologies
• Familiarity with creating and maintaining containerized application deployments with a platform like Docker
• A proven ability to build and maintain cloud based infrastructure on a major cloud provider like AWS, Azure or Google Cloud Platform
• Experience data modeling for large scale databases, either relational or NoSQL

Bonus points for:
• Experience with protocol buffers and gRPC
• Experience with: Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine or Kubernetes
• Experience working with scientific datasets, or a background in the application of quantitative science to business problems
• Bioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlation
Is travel required for this position?
No
Will the work location for this assignment be office based, remote, or hybrid?
Remote
Worker Shift Start Time
M - 08:00 AM
Is driving required for this position?
1. No - No driving on a regular basis for company business is required for role
Subcontractor Submittals Allowed?
No
Is Filtered Assessment Required?
No

Benefits (employee contribution):
Health insurance
Health savings account
Dental insurance
Vision insurance
Flexible spending accounts
Life insurance
Retirement plan

ll qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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