Assistant Manager - AWS Data Engineer

Genpact; Pune District; On-site; INR 10,00,000 - 15,00,000; Full time

Job summary

A leading technology services company in Pune is seeking an experienced AWS Data Engineer to lead the development of data solutions on AWS. The role involves building scalable data pipelines and collaborating with data professionals. Candidates should possess solid skills in SQL, AWS, and Python, with a degree in Computer Science or related field. Join us for impactful projects that drive change in global enterprises and accelerate your career within a vibrant, values-driven environment.

Benefits

Hands-on experience

Mentorship opportunities

Continuous learning opportunities

Qualifications

• Good years of industry experience.
• Hands-on experience with AWS and AWS Glue is mandatory.
• Knowledge in building ETL pipelines using AWS services is required.

Responsibilities

• Lead development and implementation of data solutions on AWS.
• Write complex T-SQL queries for data manipulation.
• Build robust and efficient data pipeline architecture.

Skills

Advanced Certification in AWS

Hands-on Experience with AWS Glue

Complex SQL skills

Python (PySpark)

Communication skills

Education

B.E. / B.Tech. / MCA in Computer Science or related field

Tools

AWS

MS SQL Server

AWS Glue

Job description

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. 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, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, 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.

We are inviting applications for the role of AM, AWS Data Engineer. We are looking for an experienced AWS Data Engineering to join our team. The successful candidate will be responsible for leading the development and implementation of data solutions on the AWS platform, working closely with our data analysts, BI Developers, data scientists, and software developers to build efficient and scalable data pipelines and systems.

Job Responsibility

• SQL
  • Writing T‑SQL Queries using joins and Sub queries in MS SQL Server.
  • T‑SQL development skills to write complex queries involving multiple tables, Joins, procedures and functions.
  • Knowledge of SQL Server Analysis Services (SSAS), Integration Services (SSIS) and Reporting Service (SSRS).
• AWS
  • Perform Data Transformation and ETL, manipulations, load, extract from several sources of data.
  • Build robust, reliable, and usable data pipeline architecture/ data sets that are used to fuel analytics, and data science solutions.
  • Creation and maintenance of optimum data pipeline architecture for ingestion, processing of data and Generating data validation processes.
  • Expected to understand the core AWS services and apply best practices regarding security and scalability.
  • Migration of existing work on SSMS to AWS Glue environment

Qualifications we seek in you!

Minimum Qualifications

• B.E. / B.Tech. / MCA in Computer Science, Engineering or related field
• Good years of industry experience
• Advanced Certification/ Coursework in AWS / SQL/ Python (PySpark) Programming (added advantage)
• Hands‑on Experience with AWS and AWS Glue Mandatory. Highly proficient working in AWS cloud environment (S3, Cloud Formation, AWS Glue, Athena)
• Hands‑on Experience with complex SQL
• Python (PySpark) and Scala is a must Knowledge in building ETL Pipelines using AWS services S3, Glue, Athena
• Strong understanding of cloud computing and optimization techniques

Preferred Qualifications

• Excellent verbal, written and presentation communication skills.
• Strong oral and written communication skills required to effectively and concisely present key findings to senior management/ Client is a must.

Why join Genpact?

• Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation
• Make an impact – Drive change for global enterprises and solve business challenges that matter
• Accelerate your career – Get hands‑on experience, mentorship, and continuous learning opportunities
• 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 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.