Lead Data Engineer, Product 4C

Overview

Lead a team of data engineers to own end-to-end data pipeline architecture and delivery for assigned product workstreams within Genpact's AI and digital innovation work.

What you'll do

• Own end-to-end data pipeline architecture and delivery for assigned product workstreams, ensuring scalability and performance.
• Lead and mentor a team of data engineers, providing technical guidance, code reviews, and career development support.
• Define data modeling standards, ETL frameworks, and quality metrics; drive adoption across the engineering team.
• Partner with product and analytics stakeholders to translate requirements into technical data solutions and roadmap priorities.
• Drive optimization of data infrastructure, reducing latency and cost while maintaining reliability and compliance.
• Architect and implement data governance policies, data lineage tracking, and metadata management systems.
• Deliver quarterly technical roadmap updates and lead design reviews for complex data engineering initiatives.

What you'll need

• Bachelor's in Computer Engineering, Computer Science, or Information Technology, or Master's in Software Engineering.
• Required skills: Apache Hadoop, Big Data Hadoop, Data Engineering, PySpark, Python.
• English language proficiency at proficient (C2) level.

Nice to have

• AWS Certified Data Analytics - Specialty.
• Databricks Data Engineer Associate.
• DP-203: Data Engineering on Microsoft Azure.
• BUILD - ANALYTICS/PYSPARK - Genpact.
• BUILD - CLOUD/AZURE DATA FACTORY & SYNAPSE - Genpact.

Details

• Location: Bangalore (Prestige Technology Park IV), India.
• Remote type: Hybrid.
• Work shift: Day Job (India).
• Job type: Regular.