Data Engineer

Ready to build the future with AI?

At Genpact, we don't just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's
AI Gigafactory
, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to
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 advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation
,
our teams implement

data, technology, and AI to create tomorrow, today. Get to know us at

and on
LinkedIn
,
X
,
YouTube
, and
Facebook
.

In this role, you will join a diverse and innovative team strategically transforming our data landscape into a key asset for our business consumers. You will have the opportunity to grow your skills in the next generation of data platforms and analytics and make a positive impact.

Responsibilities:

• Design, implement, and support data pipelines using various platforms.
• Collaborate with business analysts, data producers, and consumers to deliver quality data solutions.
• Streamline business processes to achieve impactful outcomes.
• Provide support across time zones to ensure seamless operations.
• Analyze and interpret data to identify patterns and trends.

Qualifications:

• Experience with database platforms and SQL.
• Experience in developing, debugging, and testing code.
• Experience in transforming data between data models or for reporting purposes.
• Experience with a data transformation tool like Dataiku or Alteryx Designer or any similar data tools.
• Experience with a data modeling tool such as Erwin.
• Ability to communicate problems and solutions effectively to both business and technical colleagues.
• Good understanding of data modeling, data structures, and design patterns.
• Proficiency in Java/Python or any programming tools.
• AWS experience and/or certification or any cloud platform.

Why join Genpact?

• Lead AI-first transformation
  – Build and scale AI solutions that redefine industries
• Make an impact
  – Drive change for global enterprises and solve business challenges that matter
• Accelerate your career
  —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
• Grow with the best
  – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
• Committed to ethical AI
  – Work in an environment where governance, transparency, and security are at the core of everything we build
• 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.