Senior Data Engineer (India)

Overview

Design, build, and operationalize scalable data solutions supporting enterprise analytics and AI/ML initiatives. Provide technical leadership while developing reusable data pipelines and analytical models for self-service analytics.

What you'll do

• Architect end-to-end data pipelines using industry-standard tools.
• Drive automation and move solutions effectively into production.
• Ensure compliance with data governance requirements, including GxP and HIPAA/GDPR.
• Build reusable, integrated pipelines and analytical models that promote self-service analytics.
• Provide technical leadership across the team.
• Mentor junior engineers.
• Partner with business stakeholders to align data engineering with organizational objectives.

What you'll need

• Expert-level proficiency in Databricks.
• Expert-level proficiency in Azure Fabric.
• Expert-level proficiency in PySpark.
• Expert-level proficiency in SQL.
• Expert-level proficiency in the Azure ecosystem.
• Deep experience across data warehouses, data lakes, and real-time integration.

Details

• Location: Bangalore.