Lead Data Engineer - Data Engineering

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 ther 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  and on Linked In, You Tube, X, and Facebook.

Job Description Key capabilities and expectations include:

Analytics & Problem Solving:
Strong analytical and critical-thinking skills to investigate complex business questions, identify trends and opportunities, and translate data into actionable insights and recommendations.

Adobe Analytics & Technical Support:
Hands-on expertise in Adobe Analytics across web and mobile app platforms, including implementation and tagging support, requirements development, data validation and quality monitoring, troubleshooting, and performance analysis.

Executive Reporting & Storytelling:
Ability to develop recurring executive-level reporting and presentations that clearly communicate performance, key insights, business implications, and recommended actions.

Communication & Stakeholder Engagement:
Excellent verbal and written communication skills, with the ability to understand business needs, simplify complex concepts, and confidently engage technical and business leaders.

Operational Ownership & Visibility:
Proactively manage day-to-day DVIC analytics activities, priorities, and deliverables while providing leadership with consistent updates on progress, risks, upcoming milestones, and next steps.

Independent Execution: A highly organized, detail-oriented self-starter who can translate broad objectives into structured plans, take initiative, and independently deliver high-quality outcomes with minimal oversight.

Qualifications Bachelors
- Business Analytics, Bachelors
- Computer Science, Bachelors
- Statistics, Masters
- Data Science Certifications Certified  Data Management Professional
- Riversand Riversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks Academy Databricks Academy, Databricks Certified Associate Developer for Apache Spark
- Databricks Academy Databricks Academy, Microsoft Certified:
Azure Data Engineer Associate
- Microsoft Microsoft, Oracle Database 12c Certified Implementation Specialist
- Oracle Oracle 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

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