Azure Data Engineer

About the role

We are seeking a Azure Data Engineer with 6+ years of experience to design, build, and optimize enterprise-scale data pipelines and cloud data platforms on Azure. The ideal candidate has deep hands-on expertise across the Azure data stack, strong engineering fundamentals, and the ability to mentor junior engineers while collaborating with architects and business stakeholders on end-to-end data solutions.

What you'll do

• Architect, design, and develop robust ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, and Synapse Pipelines
• Build and optimize large-scale data processing solutions using PySpark/Scala on Databricks, including performance tuning of Spark jobs
• Design and implement data lakehouse architectures using ADLS Gen2, Delta Lake, and Synapse Analytics
• Develop dimensional/data models (Star/Snowflake schema) to support enterprise reporting and analytics
• Own data quality, governance, lineage, and security (RBAC, encryption, masking, Purview) across the platform

What you need

• 6–11 yrs of experience
• Azure
• Spark
• Databricks
• Azure Data Factory
• Data warehousing
• Data modelling
• Any graduate

Good to have

• SQL
• Python
• Scala
• ETL
• Data privacy
• Snowflake