About the job you’re considering

The successful candidate will design, build, and maintain a robust and scalable data infrastructure to support business intelligence, analytics, and data science initiatives. The responsibility includes managing the end-to-end data lifecycle, including data ingestion, transformation, storage, and accessibility for various stakeholders.

Your role

• Design, develop, and maintain efficient and scalable data pipelines to extract, transform, and load data from various sources.
• Build and maintain data models within the Enterprise Data Warehouse, ensuring data is organized and accessible for analysis and reporting.
• Gather business reporting requirements and translate them into technical specifications for data solutions.
• Develop and implement ETL/ELT solutions to support data integration needs.
• Integrate data from external partner applications and other internal systems.
• Develop and support dashboards, analytics, and reports using Power BI.
• Perform integration testing to ensure data quality and system functionality.
• Design and implement data security measures and access controls.
• Collaborate with cross-functional teams to ensure data solutions meet business needs.
• Ensure data integrity and accuracy across the EDW solution and source systems.
• Provide support for production data environments and troubleshoot data-related issues.
• Participate in cutover planning and execution for new data solutions.
• Stay up-to-date with industry trends and emerging technologies in data engineering.

Your skills and experience

• A minimum of 10+ years of proven experience in Data Engineering is required, including designing, developing, and supporting complex data environments.
• Experience in designing, implementing, and optimizing enterprise data warehouses (EDWs) is required.
• Expertise in data modeling and schema design (e.g., relational, dimensional) is required to ensure efficient data storage and retrieval.
• Snowflake: Hands-on experience with Snowflake data warehousing, including optimization techniques, is required.
• A deep understanding and experience with ETL/ELT processes and tools are required.
• A strong understanding of data modeling principles and best practices is required.
• Data Quality and Governance: Experience implementing data quality checks and validation processes is required.
• Ensuring data security and access controls are implemented and maintained is required.
• Data Security: Experience implementing industry-standard data security measures, including encryption and access controls, is required.
• Testing and Validation: Experience in designing and executing integration testing for data pipelines and EDW is required.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

Get the future you want | www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.