We are looking for a Lead Data Engineer with solid 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

- Strong 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)
🏢 Digitide
📍 Bengaluru