Remote Data Engineer: Spark, Databricks & ETL Pipelines
Summary
Build and optimize data pipelines with Spark and Databricks, integrating databases, APIs, and streaming sources to support analytics and data governance across cloud platforms.
Capgemini Engineering is seeking a MID -Data Engineer- for a REMOTE role. You will design, build, and optimize data pipelines using Databricks and Spark, integrate data from databases, APIs, and streaming sources, and work closely with data scientists to enable advanced analytics.
You will implement data governance, ensure data quality, and support CI/CD for data workflows across cloud platforms such as Azure, AWS, and GCP.