Job Role - Azure Databricks Senior Developer
Exp- 7+ Years
Location- Gurgaon

Key Responsibilities
Design, develop, and maintain scalable data engineering solutions using Azure Databricks.
Build and optimize ETL/ELT pipelines using PySpark and Spark SQL.
Develop data ingestion frameworks from multiple data sources including databases, APIs, flat files, and streaming platforms.
Implement Delta Lake architecture for reliable and high-performance data processing.
Integrate Azure Databricks with Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage.
Develop batch and real-time data processing solutions.
Perform data modeling, transformation, and cleansing activities.
Optimize Databricks workloads for performance, scalability, and cost efficiency.
Implement CI/CD pipelines and DevOps best practices for data engineering projects.
Collaborate with business stakeholders, data architects, and analytics teams to understand requirements.
Troubleshoot production issues and ensure data quality and reliability.
Create technical documentation and knowledge transfer materials.

📌 Azure Data Bricks Jr Developer (Gurugram)
🏢 Tata Consultancy Services
📍 Gurugram