Data Engineer GCP

Capgemini is hiring a GCP Data Engineer for a hybrid role in Atlanta, GA.

• Design, build, and maintain scalable data pipelines on GCP
  , primarily using Big Query
• Develop and manage DBT models as a nice to have to transform raw data into clean, tested, and documented datasets
• Write complex, optimized SQL for data extraction, transformation, and analysis
• Implement and maintain data warehousing solutions with focus on performance, scalability, and reliability
• Partner with data analysts, data scientists, and business stakeholders to gather data requirements and deliver quality solutions
• Monitor and troubleshoot pipeline performance and data quality issues
• Automate data workflows and tasks using Python scripts when needed
• Support data governance, security, and compliance standards

• Bachelor's degree in Computer Science, Information Systems, or a related field
• 5+ years of experience in data engineering or a similar role
• Strong SQL skills, including the ability to write efficient, complex queries
• Nice to have: DBT knowledge for data modeling and transformation
• Hands-on experience with Big Query and other GCP data services
• Solid understanding of data warehousing principles and best practices
• Basic to intermediate skills in Python for scripting and automation
• Familiarity with Git or similar version control systems
• Excellent problem-solving and communication skills

• Google Cloud Platform (GCP)
• Big Query
• DBT
• SQL
• Python
• Git

• Hybrid in Atlanta, GA

• USD 76, per year

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