Senior Data Engineer

Capgemini • Bridgewater, NJ

24d

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Design, develop, and optimize data engineering and ETL solutions, leveraging strong expertise in BI platforms such as MicroStrategy and Informatica. Lead cloud migration initiatives, enabling seamless transition of legacy and on-prem data systems to AWS/GCP cloud environments. Build and maintain high-performance dashboards, reporting systems, and data models to support enterprise analytics needs. Execute performance engineering, load testing, and troubleshooting to ensure scalable and efficient data platforms. Collaborate as a Technical Lead/Product Owner in Agile teams, driving architecture decisions, technical delivery, and quality improvements. Automate workflows, enhance system reliability, and ensure security compliance across data and cloud infrastructure.

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.

Requirements

• Strong expertise in BI platforms such as MicroStrategy and Informatica.
• Experience with AWS/GCP cloud environments.
• Experience in building and maintaining high-performance dashboards, reporting systems, and data models.
• Experience with performance engineering, load testing, and troubleshooting.
• Experience collaborating in Agile teams as a Technical Lead/Product Owner.
• Experience automating workflows, enhancing system reliability, and ensuring security compliance.
• Experience leading and managing a team of data engineers.
• Experience overseeing data engineering projects.
• Experience ensuring technical excellence.
• Experience fostering collaboration with stakeholders.

Responsibilities

• Design, develop, and optimize data engineering and ETL solutions, leveraging strong expertise in BI platforms such as MicroStrategy and Informatica.
• Lead cloud migration initiatives, enabling seamless transition of legacy and on-prem data systems to AWS/GCP cloud environments.
• Build and maintain high-performance dashboards, reporting systems, and data models to support enterprise analytics needs.
• Execute performance engineering, load testing, and troubleshooting to ensure scalable and efficient data platforms.
• Collaborate as a Technical Lead/Product Owner in Agile teams, driving architecture decisions, technical delivery, and quality improvements.
• Automate workflows, enhance system reliability, and ensure security compliance across data and cloud infrastructure.
• Leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders.

Benefits

• Paid time off based on employee grade (A-F), depending on policy: Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed