Azure Databricks With Pyspark

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.
  
  

• 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.