Role & responsibilities
Design, develop, and maintain scalable data pipelines using Azure Databricks.
Develop ETL/ELT solutions using PySpark, Spark SQL, and Databricks notebooks.
Build and optimize data ingestion frameworks from multiple source systems.
Implement Delta Lake architecture and medallion data models (Bronze, Silver, Gold).
Integrate Azure Databricks with Azure Data Factory, ADLS Gen2, Synapse Analytics, and SQL Databases.
Perform data transformation, cleansing, and aggregation for analytics and reporting.
Optimize Spark jobs and cluster performance for large-scale data processing.
Implement monitoring, logging, and troubleshooting of data workflows.
Participate in architecture discussions and data platform modernization initiatives.
Collaborate with business analysts, data scientists, and stakeholders.
Support production deployments and incident resolution.
Ensure data quality, governance, and security best practices.
📌 Walk In Azure Data Bricks Jr Developer Gurugram
🏢 Tata Consultancy Services
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