Lead Data Engineer - Data Engineering 4C

Lead Data Engineer

Ready to turn bold ideas into real-world impact?

At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE

G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.

Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description

**Primary Focus**

End-to-end Data Engineering, Data Modeling, Delta Lake \& Lakebase Optimizations, Secure Lakehouse Management, Production Migrations, and Complex Pipeline Debugging.

**Role Overview**

We are seeking an experienced Senior Data Engineer (Band 4C) to drive the design, development, optimization, and production deployment of our Finance1 Databrics platform. In this role, you will lead end-to-end data pipeline engineering, design scalable dimensional and lakehouse data models, manage end-to-end production migrations, and troubleshoot complex production issues. You will be responsible for query performance tuning, maintaining Delta table optimizations, enforcing strict data governance via Unity Catalog, and ensuring zero-downtime, high-availability data delivery across environments.

**Key Responsibilities**

Data Modeling

Design, build, and maintain enterprise-grade data models (Dimensional/Star Schema) alongside comprehensive Source-to-Target Mappings (STTM) and Seed Data Management.

Core Databricks \& Lakehouse Pipeline Engineering

Build robust batch ingestion/processing pipelines using PySpark, Delta Lake, Lakebase, and Databricks Workflows.

Production Migration \& Environment Management

Lead end-to-end production migrations, environment promotions (Dev/QA/Prod), historical data backfills, schema migrations, and legacy system transitions onto the Databricks Lakehouse platform with minimal downtime.

Production Debugging \& Operational Support

Troubleshoot and resolve complex production pipeline failures, memory leaks, Spark driver/worker OOM (Out Of Memory) issues, data skewness, schema drift, and performance bottlenecks.

Performance Tuning \& Optimization

Perform execution plan analysis, query tuning, and compute optimization across Serverless/Classic SQL Warehouses, Delta table layout optimizations (Z-Ordering, Liquid Clustering, Compaction), and caching strategies.

Governance \& Security

Implement and enforce enterprise-grade data security, column/row-level access controls, data masking, and audit lineage using Databricks Unity Catalog.

CI/CD \& Lakehouse Automation

Implement automated deployment pipelines for Databricks assets using Git, Databricks Asset Bundles (DABs), and DevOps practices.

**Required Qualifications \& Technical Skills**

Experience

6 to 10 years of core Data Engineering experience with strong, hands-on expertise on the Databricks Lakehouse platform.

Production \& Debugging Expertise

Proven track record of managing production data pipelines, debugging complex distributed systems, analyzing Spark UI/DAG logs, and resolving operational outages.

Migration Experience

Hands-on experience executing complex production migrations, data cutovers, schema evolution handling, and historical data loads.

Core Technical Stack

PySpark, SQL, Delta Lake internals, Databricks SQL Warehouses, Lakebase, and Unity Catalog.

Data Modeling \& STTM

Expertise in conceptual, logical, and physical data modeling alongside detailed STTM creation.

Governance \& Security

Hands-on experience configuring Unity Catalog, Access Control Lists (ACLs), role-based access control (RBAC), and data privacy policies.

DevOps \& Orchestration

Practical knowledge of Databricks Asset Bundles (DABs), Git workflows, and CI/CD pipelines.

• Exposure to any other data platform like Snowflake, Microsoft Fabric

Qualifications

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications

Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle

Required Skills

Agile Methodology, Banking Capital Markets, Client Relations, Cloud Computing, Collaboration Tools, Commercial Sales, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Data Literacy, Design Thinking, Electronic Hardware, Executive Presence, Inclusion, Manufacturing Equipment, People Leadership, Personal Effectiveness, Risk Management, Semiconductors, Snowflake (Platform), Sourcing and Procurement, Storytelling

Language

English

Language Proficiency -

Proficient - C2

Additional Job Location -

Job Type

Regular

Master Skill List -

Data Engineering

Remote Type -

Hybrid

Work Shift -

Day Job (India)

Why join Genpact?

• Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
• Make an impact – Help global enterprises solve business challenges that matter
• Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
• Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.

Let’s build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.