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, Py Spark/Spark, SQL, Python, ETL/ELT, Delta Lake, ADLS Gen2, Azure SQL, and Azure Dev Ops. The candidate should have a good understanding of contemporary 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 Py Spark/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 Dev Ops, 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 Py Spark / Apache Spark SQLPython ETL / ELTDelta Lake Medallion Architecture – Bronze / Silver / Gold ADLS Gen2 Azure SQLDatabricks Notebooks / Jobs / Workflows Unity Catalog Basic streaming Azure Dev Ops & basic CI/CDRBAC / security fundamentals Basic data cleansing, validation, data quality, and data modeling Preferred / Good-to-Have Academic/project experience with Py Spark and SQLPrevious Databricks projects or internships AZ-900 certification/fundamentals Familiarity with Power BIExposure to other cloud platforms Basic understanding of data modeling

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