Databricks Data Engineer - Hybrid, Scalable Pipelines
This job is in your area. Enjoy a short commute and work close to home.
Job Description
About the Job you are considering
Capgemini is seeking a highly skilled Data Engineer with strong Databricks expertise to design, build, and optimize scalable data solutions. This role focuses on modern data engineering practices, including developing high-performance data pipelines and contributing to technical design and architecture discussions. The position plays a key role in enabling analytics, reporting, and business-critical data use cases across the organization.
Hybrid working
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role
- Design, develop, and maintain scalable data pipelines and processing frameworks using Databricks, Python, and PySpark
- Build and optimize data workflows to support analytics, r...