Job DescriptionJob Title: - Azure Databricks with PysparkLocation: - AIA KolkataExperience: - 6 to 9 YearsAn Azure Databricks Developer job description typically requires expertise in PySpark, Azure Data Factory (ADF), and Delta Lake architectureKey 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: Solid familiarity with core Azure services including ADF, ADLS Gen2, and Azure SQL.

📌 Azure Databricks With Pyspark (Chennai)
🏢 Cognizant Consulting
📍 Chennai