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About the role
Job Title: - Azure Databricks with Pyspark Location: - AIA Kolkata Experience: - 6 to 9 Years An Azure Databricks Developer job description 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: Strong familiarity with core Azure services including ADF, ADLS Gen2, and Azure SQL.
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