Senior Data Engineer

CapgeminiAtlanta, GA

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. 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

  • Able to work in Python.

Responsibilities

  • Design and delivery of enterprise-scale data platforms on GCP, with BigQuery as the core analytics engine.
  • Own data warehouse architecture, data modeling, and performance optimization in BigQuery.
  • Design and implement ETL/ELT pipelines using GCP services like Dataflow, Dataproc, and Cloud Composer.
  • Ensure data quality, reliability, security, and governance across all data pipelines.
  • Optimize systems for scalability, cost efficiency, and operational excellence.
  • Build and enforce engineering best practices including CI/CD, testing, and monitoring.
  • Collaborate with analytics, data science, and business stakeholders to translate requirements into solutions.
  • Act as a trusted technical advisor for modern data architecture and platform strategy.

Benefits

  • Paid time off based on employee grade (A-F), defined by 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
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