Job Title

- Azure Databricks with Pyspark Location:
- AIA Kolkata Experience:
- 6 to 9 Years An Azure Databricks Developer typically requires expertise in PySpark, Azure Data Factory (ADF), and Delta Lake architecture Key Responsibilities Pipeline Development: Build and optimize scalable data pipelines and ETL processes using Azure Databricks and PySpark.

Data Integration: Connect and manage data from Azure Data Lake Storage (ADLS Gen2) and various file formats (Parquet, Delta, JSON, CSV).

Performance Tuning: Tune Spark SQL queries, optimize cluster configurations, and manage data partitioning strategies.

CI/CD & Deployment: Implement version control via Git and deploy automated workflows using Azure DevOps or GitHub Actions.

Required Qualifications Experience: 4 to 8+ years of total IT experience, with at least 2–3 years of hands-on production experience in Azure Databricks.

Tech Stack: Advanced proficiency in Python, PySpark, and complex SQL.

Cloud Knowledge: Robust familiarity with core Azure services including ADF, ADLS Gen2, and Azure SQL.

📌 Azure Databricks with Pyspark (Chennai)
🏢 Cognizant
📍 Chennai