Business Analyst, 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 anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep 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 teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook. 

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