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
Azure Databricks Engineer for Data Pipelines & Lakes employer: Capgemini
Capgemini is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a hybrid working model, employees enjoy the flexibility of blending office, client site, and home working, while also benefiting from extensive growth opportunities and professional development within the Capital Markets sector. Join us to be part of a team that values governance excellence and empowers you to make a meaningful impact in complex programme environments.
