successfactors
Azure Databricks Engineer
CAPGEMINI SERVICE SAS
Mumbai, IND
Full-time
Mid · 4+ years experience
Onsite
Discovered 3 weeks ago
Azure Data FactoryDatabricksPySparkSQLDelta LakeAzure Data Lake
Free
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Azure Data FactoryDatabricksPySpark
Key Skills for This Role
Azure Data FactoryDatabricksPySparkSQLDelta LakeAzure Data Lake
Full Job Posting
Azure Databricks Engineer
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your Role
- Designing and developing end-to-end data pipelines using Azure Data Factory and Databricks, PySpark, SQL, Delta Lake, azure data lake Building and optimizing ETL workflows for ingestion, transformation, and loading of structured and semi-structured data into Azure Synapse Analytics and ADLS.I
- Implementing data validation and quality frameworks to ensure data reliability. Writing efficient PySpark and SQL code for complex transformations, aggregations, and performance tuning
- Managing secure access using Azure Key Vault, role-based permissions, and compliance best practices
- Working in an Agile/Scrum environment, delivering solutions aligned with business needs.
Your Profile
Should have 4 to 12 years of experience in Azure Databricks with strong pyspark experience
Experience with Azure Data Bricks, Data Factory
Experience with Azure Data components such as Azure SQL Database, Azure SQL Warehouse, SYNAPSE Analytics
Experience in Python/Pyspark/Scala/Hive Programming.
Experience with Azure Databricks/ADB
Experience with building CI/CD pipelines in Data environments
What you’ll love about working here
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