Data Engineering Lead

Overview

Lead and deliver hands-on data engineering work on production platforms, overseeing the full lifecycle from design to production support.

What you'll do

• Design and build production-grade data pipelines for batch and streaming.
• Ensure data quality and validation across production data systems.
• Handle governance and access management for Databricks.
• Support real-time processing and production support activities.
• Enable secure data handling and security-conscious environments.
• Mentor engineers through coaching, feedback, and structured development support.
• Contribute to estimations and technical-commercial discussions to ensure feasibility.

What you'll need

• 8+ years’ hands-on data engineering experience with technical leadership on production platforms.
• Strong coding skills in Python, Java, or similar languages, plus SQL capability.
• Experience building and operating batch and streaming pipelines in production.
• Experience with AWS and Databricks/Spark.
• Hands-on experience with dbt and Airflow (or equivalent) for transformations and orchestration.
• Solid understanding of data modelling, data quality, and production data systems.
• Experience with relational databases such as Postgres or SQL Server.

Details

• Location: Mumbai, MH, India.