Role: Junior Data Engineer Location: Bangalore Experience: 2–3 Years Employment Type: Full-time Job Summary We are looking for a Junior Data Engineer with 2–3 years of hands-on/project experience in Azure Databricks, PySpark/Spark, SQL, Python, ETL/ELT, Delta Lake, ADLS Gen2, Azure SQL, and Azure DevOps. The candidate should have a positive understanding of modern cloud data engineering, Medallion Architecture, data quality, security, and pipeline development. Key Responsibilities Develop and support data ingestion and ETL/ELT pipelines. Perform data transformations using PySpark/Spark, SQL, and Python. Work with Bronze, Silver, and Gold layers using Medallion Architecture. Integrate data from ADLS Gen2 and Azure SQL. Develop and support Databricks Notebooks, Jobs, and Workflows. Work with Delta Lake, Unity Catalog, and basic streaming. Perform data cleansing, validation, and basic data-quality checks. Monitor pipelines, execute routine jobs, and troubleshoot basic issues. Assist with Azure DevOps, CI/CD,



and deployment activities. Apply basic RBAC and security practices. Support basic data modeling and cloud data engineering activities. Document pipelines and processes and work with senior team members to understand requirements. Required Skills Azure Databricks PySpark / Apache Spark SQL Python ETL / ELT Delta Lake Medallion Architecture – Bronze / Silver / Gold ADLS Gen2 Azure SQL Databricks Notebooks / Jobs / Workflows Unity Catalog Basic streaming Azure DevOps & basic CI/CD RBAC / security fundamentals Basic data cleansing, validation, data quality, and data modeling Preferred / Good-to-Have Academic/project experience with PySpark and SQL Previous Databricks projects or internships AZ-900 certification/fundamentals Familiarity with Power BI Exposure to other cloud platforms Basic understanding of data modeling

📌 Junior Data Engineer (Karnataka)
🏢 Ignisov Consulting Services
📍 Karnataka