Data Engineer
Summary
Lead Data Engineer (5-7 yrs) designing data warehouses, lakehouses, and ETL/ELT/CDC pipelines for modern analytics platforms. Works across Azure/AWS with Databricks, Microsoft Fabric, or Snowflake; on-site in Noida or Bengaluru with a 2:00 PM-11:00 PM IST shift.
Lead Data Engineer
Experience Required: 5 to 7 Years
Work Shift: 2:00 PM 11:00 PM IST
Role Overview: Looking for a Lead Data Engineer to design scalable data solutions, modern analytics platforms, Data Warehouses, and Data Lakehouses.
Key Responsibilities:
Design Data Warehouse, Data Lakehouse, and modern data platforms.
Develop ETL/ELT Pipelines and CDC solutions.
Create Star Schema, Snowflake Schema, and Data Vault models.
Implement Medallion Architecture and Lakehouse Architecture.
Work across Azure, AWS, Databricks, Microsoft Fabric, or Snowflake ecosystems.
Establish Data Quality, Data Governance, and Metadata Management frameworks.
Must-Have Skills:
Data Architecture, ETL/ELT, Data Warehouse / Data Lakehouse design.
Data Modeling: Star Schema, Snowflake Schema, Data Vault, CDC, SCD.
Medallion Architecture experience.
Cloud & Analytics Platforms: Azure/AWS, Databricks, Microsoft Fabric, or Snowflake.
Data Governance, Metadata Management, and AI/ML Data Platforms.
Good-to-Have Skills:
Real-Time Data Processing, DataOps / DevOps, Multi-Cloud Architecture.