Job Type: Full-time

Role: Junior Data EngineerLocation: BangaloreExperience: 2–3 YearsEmployment Type: Full-timeJob SummaryWe 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 good understanding of up-to-date cloud data engineering, Medallion Architecture, data quality, security, and pipeline development.Key ResponsibilitiesDevelop 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 SkillsAzure DatabricksPySpark / Apache SparkSQLPythonETL / ELTDelta LakeMedallion Architecture – Bronze / Silver / GoldADLS Gen2Azure SQLDatabricks Notebooks / Jobs / WorkflowsUnity CatalogBasic streamingAzure DevOps & basic CI/CDRBAC / security fundamentalsBasic data cleansing, validation, data quality, and data modelingPreferred / Good-to-HaveAcademic/project experience with PySpark and SQLPrevious Databricks projects or internshipsAZ-900 certification/fundamentalsFamiliarity with Power BIExposure to other cloud platformsBasic understanding of data modeling

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