Junior Data Engineer

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 good 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