Data Engineer

For Reputed IT Organization In India -PAN India

Job Overview

• Job Title: L2 Data Engineer (Azure / Databricks)
• Level: L2 – Senior Individual Contributor / Technical Specialist in Data Engineering
• Experience: 10+ years of overall IT experience, including 6–8 years in dedicated cloud data engineering roles.

Key Responsibilities

• Pipeline Development: Design, build, and maintain scalable, secure ETL/ELT pipelines on Azure using services such as Azure Data Factory, Azure Databricks, Synapse, and Data Lake.

• Data Processing: Develop robust transformation logic using PySpark, Spark SQL, and Python in Databricks notebooks and jobs.

• Lakehouse Architecture: Implement medallion architecture and Delta Lake best practices, including partitioning, optimization, and data quality controls.

• Data Modeling: Design and optimize dimensional, star/snowflake, and wide-table models for analytics, BI, and data science ...