- 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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