Opportunity Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
dataroles

Sr. Data Engineer - Data Engineering 4B

Genpact Open
Hybrid 1401-GIPL: Prestige Technology Park IV, Bangalore Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Genpact. 1401-GIPL: Prestige Technology Park IV, Bangalore · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SenioritySenior
Location1401-GIPL: Prestige Technology Park IV, Bangalore
WorkplaceHybrid
EmploymentFull-time
PostedSep 28, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build data systems that can scale, then tune them for dependable performance
  • Create and maintain pipelines that bring in, transform and store high volumes of data
  • Work with data scientists and analysts to turn their data needs into practical solutions
  • Diagnose data problems and resolve them promptly while keeping your engineering knowledge current
  • Coach junior data engineers on sound practices and technical skills

What you bring

  • A bachelor's degree in business analytics, computer science or another listed field
  • Proficient English at the C2 level

Who this fits

This senior role suits someone who can design and operate data pipelines and help develop junior engineers. It is a hybrid position in India with flexible hours.

From the employer

Sr. Data Engineer

Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or 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 agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description

BA + TPM

Responsibilities: Design and develop scalable data processing systems; Implement and maintain data pipelines to ingest, process, and store large volumes of data; Optimize data infrastructure for performance and reliability; Collaborate with data scientists and analysts to understand data requirements and implement appropriate solutions; Troubleshoot and resolve data-related issues in a timely manner; Stay current with emerging technologies and trends in big data engineering; Mentor junior data engineers on best practices and technical skills.

Qualifications

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications

Azure Solutions Architect Expert - MicrosoftMicrosoft, Cloudera Certified Professional (CCP) Data Scientist - UpgradUpgrad, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Data Engineer Professional - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft

Required Skills

Agile Methodology, Banking Capital Markets, Client Relations, Cloud Computing, Collaboration Tools, Commercial Sales, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Data Literacy, Design Thinking, Electronic Hardware, Executive Presence, Inclusion, Manufacturing Equipment, Personal Effectiveness, Semiconductors, Snowflake (Platform), Sourcing and Procurement, Storytelling

Language

English, English

Language Proficiency -

Proficient - C2

Additional Job Location -

Job Type

Regular

Master Skill List -

Data Engineering

Remote Type -

Hybrid

Work Shift -

Flex Time (India)

Why join Genpact?
• Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
• Make an impact – Help global enterprises solve business challenges that matter
• Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
• 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 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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.