Lead Data Engineer - Product

Lead Data Engineer, Product

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

Data Engineer( python , pyspark , hadoop)

1. Own end-to-end data pipeline architecture and delivery for assigned product workstreams, ensuring scalability and performance. 2. Lead and mentor a team of data engineers, providing technical guidance, code reviews, and career development support. 3. Define data modeling standards, ETL frameworks, and quality metrics; drive adoption across the engineering team. 4. Partner with product and analytics stakeholders to translate requirements into technical data solutions and roadmap priorities. 5. Drive optimization of data infrastructure, reducing latency and cost while maintaining reliability and compliance. 6. Architect and implement data governance policies, data lineage tracking, and metadata management systems. 7. Deliver quarterly technical roadmap updates and lead design reviews for complex data engineering initiatives.

Qualifications

Bachelors - Computer Engineering, Bachelors - Computer Science, Bachelors - Information Technology, Masters - Software Engineering

Certifications

AWS Certified Data Analytics - Specialty - Amazon Web Services (AWS), BUILD - ANALYTICS/PYSPARK - Genpact, BUILD - CLOUD/AZURE DATA FACTORY & SYNAPSE - Genpact, Databricks Data Engineer Associate - Databricks Academy, DP-203: Data Engineering on Microsoft Azure - Microsoft

Required Skills

Apache Hadoop, Big Data Hadoop, Data Engineering, PySpark, Python (Programming Language)

Language

English (Required), English (Required)

Language Proficiency -

English (OVERALL - Proficient - C2), English (OVERALL - Proficient - C2)

Additional Job Location -

Job Type

Regular

Master Skill List -

Product 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.