We are hiring a Lead Data Engineer with 8+ years of experience in building scalable data pipelines using Azure Data Factory, SQL, and PySpark, with exposure to Microsoft Fabric and modern Lakehouse architectures.
Key Skills
Strong SQL (T-SQL/PL-SQL): query optimization, performance tuning
Hands-on Azure Data Factory (ADF): pipeline design, orchestration, monitoring
Experience with PySpark / Databricks or Fabric Spark
Working knowledge of Microsoft Fabric (Lakehouse, Dataflows, Pipelines, OneLake)
Good understanding of Data Warehousing concepts (SCD, star schema)
Experience with Azure Data Services (ADLS Gen2, Azure SQL / Synapse)
Familiarity with CI/CD & DevOps (Azure DevOps, Git)
Responsibilities
Design and build ETL/ELT pipelines using ADF and/or Fabric
Develop scalable data transformations using SQL & PySpark
Implement data models and Lakehouse architectures
Perform data cleansing, migration, and validation
Monitor, troubleshoot, and optimize pipeline performance
Support testing, deployments, and CI/CD processes
Collaborate with cross-functional teams and stakeholders
Good to Have
Exposure to streaming (Event Hub/Kafka)
Experience with Power BI / Fabric semantic models
Understanding of data security & governance
What We’re Looking For
Strong analytical and problem-solving skills
Ability to work in a fast-paced, agile environment
Continuous learning mindset
Pay: ₹1,200,000.00 - ₹1,600,000.00 per year
Work Location: Remote
