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 genpact.com and on LinkedIn, X, YouTube, and Facebook.  

Inviting applications for the role of Business Analyst, Data Engineer! 

The Data Engineer will be responsible for designing, developing and maintaining robust data pipelines and ETL processes using Amazon Web Services (AWS) tools. This role requires expertise in SQL, Python and AWS technologies, along with experience in integrating APIs to enhance data accessibility and usability. 

Responsibilities: 

• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs. 

• Design and implement scalable ETL processes using AWS tools such as AWS Glue, Lambda, StepFunctions etc. 

• Design Data Transformation pipelines leveraging Snowflake warehouse as a source or as a Target. 

• Integrate external APIs to enrich data sets. 

• Optimize SQL queries for performance and efficiency in large-scale data environments. 

• Monitor and troubleshoot data pipeline issues to ensure seamless operation. 

Minimum Qualification/Skills: 

• Good experience in data engineering role. 

• Good years of experience working with AWS based ETL and flow management tools. 

• Proficiency in SQL and Python for data manipulation and analysis. 

• Extensive experience with AWS tools for ETL processes, including AWS Glue, Lambda, Step Functions. 

• Very good understanding of GIT and CI/CD methodologies. 

• Working knowledge of REST and SOPA APIs both for development and data enrichment. 

• Experience with deploying containerized applications (Docker/Kubernetes). 

• Good understanding of data architecture and warehousing concepts. 

Preferred Skills: 

• Any Experience or knowledge of Snowflake and Snowpark. 

• Any Experience or knowledge of Linux. 

• Any Experience of PYSPARK 

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.