Remote Databricks Data Engineer | Azure & Power BI
Summary
Mid-level Data Engineer designing scalable data pipelines and ETL/ELT processes on the Databricks platform using Python, SQL, and cloud services. The role involves data governance and enabling ML workloads for engineering and supply chain sectors.
Capgemini Engineering is seeking a MID -Data Engineer- to design, build, and optimize scalable data pipelines and analytics solutions on the Databricks platform. You will leverage Python, SQL, and cloud services to transform and load data for analytics across engineering, manufacturing, and supply chain domains.
The role focuses on data replication, ETL/ELT development, governance, and collaboration with data scientists to enable ML workloads in a distributed environment.