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
📍 Gurugram
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