Role: Lead Data Engineer

Experience: 8–10 Years
We are looking for a Lead Data Engineer with robust hands-on experience in Azure, ADF, Microsoft Fabric, and SQL Server, along with proven team leadership and stakeholder-management skills.

Key Responsibilities
Lead design and development of scalable enterprise data pipelines using Azure, ADF, and Microsoft Fabric.
Build reusable, metadata-driven data pipeline / ETL frameworks .
Develop and optimize SQL Server queries, stored procedures, data models, and ETL/ELT processes .
Implement data integration, transformation, validation, error handling, monitoring, and performance optimization.
Lead and mentor a team of data engineers; conduct technical/design/code reviews .
Work closely with architects, business teams, and clients to translate requirements into robust technical solutions.
Drive engineering best practices,



automation, CI/CD, documentation, and delivery quality.
Troubleshoot complex data engineering and pipeline issues.

Mandatory Skills:
Azure Data Engineering & ADF
Microsoft Fabric – Data Factory, Lakehouse, Warehouse
Advanced SQL Server
ETL/ELT & Data Warehousing
Data Pipeline Framework Development
Metadata-driven / reusable frameworks
Team Leadership & Mentoring
Excellent communication and stakeholder-management skills
Solid problem-solving and client-facing skills

Preferred skills:
Azure DP-203 certification
Azure DevOps / Git / CI-CD
Databricks and Power BI experience
Enterprise DWH/Lakehouse modernization experience

📌 Lead Data Engineer Bengaluru (India)
🏢 Digitide
📍 India