Job Description

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

Manager -Data Engineer

( AWS

, Python, Spark, Databricks for ETL-Agentic AI!

In this role,

you'll

be part of Genpact's transformation under GenpactNext

, as we lead the shift to Agentic AI Solutions--domain-specific, autonomous systems that redefine how we deliver value to clients.

You'll help drive the adoption of innovations like the Genpact AP Suite in finance and accounting, with more Agentic AI products set to expand across service lines.

Responsibilities

Design, develop, and manage scalable ETL pipelines using

AWS Glue

,

Databricks

,

Apache Spark

, and

Python

to process structured and unstructured data from diverse sources.

Build and orchestrate data workflows integrating with services such as

AWS Lambda

,

Step Functions

,

S3

, and

Redshift

, ensuring high availability and performance.

Optimize

Spark jobs for performance and cost-efficiency across

Databricks

and

AWS Glue

environments using partitioning, job bookmarks, and dynamic frame operations.

Maintain secure data solutions in AWS, leveraging

IAM roles

,

KMS encryption

, and

VPC-based security

to meet compliance and governance standards.

Migrate legacy ETL jobs and data from on-prem systems to cloud-native architectures on

AWS Glue

,

Redshift

, and

DynamoDB

.

Implement/monitor

data pipeline performance

, performing debugging and tuning of Spark jobs to ensure reliable execution and minimal downtime.

Contribute

in

the design and review of technical solutions, translating business requirements and user stories into scalable data engineering architectures.

Conduct unit testing and data validation to ensure functional correctness of pipelines before deployment.

Contribute to production deployment and collaborate with release management to ensure seamless delivery of data solutions.

Recommend cost-effective, secure, and high-performing cloud-based data solutions, reducing manual overhead and operational burden.

Qualifications we

seek

in you!

Minimum Qualifications

Experience in designing, implementing data pipelines, build data applications, data migration on AWS

Strong experience of implementing data lake using AWS services like Glue, Lambda, Step, Redshift

Experience of Databricks will be added advantage

Strong experience in Python and SQL

Proven

expertise

in AWS services such as S3, Lambda, Glue, EMR, and Redshift.

Advanced programming skills in Python for data processing and automation.

Hands-on experience with Apache Spark for large-scale data processing.

Proficiency

in SQL for data querying and transformation.

Strong understanding of security principles and best practices for cloud-based environments

.

Experience with

monitoring

tools and implementing proactive measures to ensure system availability and performance

.

Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment

.

Strong communication

and collaboration skills to work effectively with cross-functional teams

.

Preferred Qualifications/ Skills

Bachelor's degree in business information systems (IS), computer science or related field, or equivalent-related IT experience.

AWS Data Engineering & Cloud certifications, Databricks certifications

Familiar with multiple data integration technologies and cloud platforms

Knowledge of Change & Incident Management process

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.

JobManager

Primary LocationIndia-Gurugram

ScheduleFull-time

Education LevelBachelor's / Graduation / Equivalent

Job PostingAug 21, 2025, 11:16:49 PM

Unposting DateSep 21, 2025, 1:29:00 PM

Master Skills ListDigital

Job CategoryFull Time