Role & responsibilities
Design, develop, and maintain enterprise-scale data pipelines using Azure Databricks.
Develop ETL/ELT solutions using PySpark, Spark SQL, and Delta Lake.
Build and optimize data lake and lakehouse architectures.
Integrate data from diverse cloud and on-premises data sources.
Optimize Databricks workloads for performance, scalability, and cost efficiency.
Implement data governance, security, and quality controls.
Collaborate with architects, analysts, and business stakeholders to deliver data solutions.
Build and maintain CI/CD pipelines for data engineering deployments.
Support real-time and batch data processing requirements.
Troubleshoot production issues and perform root cause analysis.
Mentor junior developers and drive best practices across the team.
Create technical documentation and support enterprise data modernization initiatives.
📌 Azure Data Bricks Sr Developer Gurugram
🏢 Tata Consultancy Services
📍 Gurugram
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