Capgemini seeks a Databricks Developer to build scalable data pipelines and analytics on the Azure Databricks platform. You will work across Spark, PySpark, Python, and SQL to ingest, transform and optimize data from multiple sources.
The role involves collaborating with data analysts and engineers in a hybrid setup with offices, client sites and remote work. You will design and maintain Bronze-Silver-Gold medallion data architectures, integrate ADLS Gen2, ADF and Synapse, and implement data
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This role, Azure Databricks Engineer for Data Pipelines & Lakes at Capgemini, could be your next opportunity.
We would love to welcome a new Azure Databricks Engineer for Data Pipelines & Lakes to our organisation in Greater London, England, United Kingdom.
For the Azure Databricks Engineer for Data Pipelines & Lakes position at Capgemini, we are reviewing applications now.