Data Engineer - Data Engineering 4A

Genpact; Pune District; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Genpact in Pune is seeking a Data Engineer to design, implement, and maintain data ingestion and ETL pipelines, enabling scalable data lakes and warehouses. You will collaborate with data scientists and analysts to deliver reliable datasets and ensure data quality across complex pipelines.

The role requires strong skills in data engineering, analytics, and modern data platforms. Hybrid work arrangements and continuous learning opportunities are available to drive impact and career growth.

Qualifications

• Bachelor's degrees in analytics, CS, or statistics; master's in data science preferred.
• 3-5+ years of data engineering or analytics experience, with focus on data pipelines.
• Experience with large-scale data platforms and data governance is a plus.

Responsibilities

• Develop and implement data ingestion processes
• 1. Design and optimize data storage and retrieval solutions
• 2. Build and maintain ETL processes to transform and load data into data lake/warehouse
• 3. Collaborate with data scientists and analysts to understand data requirements and deliver relevant datasets
• 4. Troubleshoot and resolve data-related issues
• 5. Ensure data quality and integrity in the data pipelines
• 6. Research and evaluate new data technologies and tools for continuous improvement

Skills

Agile

Banking CM

Cloud

Collaboration Tools

Sales

CPG

Data Engineering

Data Literacy

Design Thinking

Electronic Hardware

Executive Presence

Inclusion

Manufacturing Equipment

Personal Effectiveness

Semiconductors

Snowflake

Sourcing & Procurement

Storytelling

Education

Bachelor's degree in Business Analytics

Bachelor's degree in Computer Science

Bachelor's degree in Statistics

Master's in Data Science

Job description

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

Responsibilities

• 1. Develop and implement data ingestion processes;
• 2. Design and optimize data storage and retrieval solutions;
• 3. Build and maintain ETL processes to transform and load data into data lake/warehouse;
• 4. Collaborate with data scientists and analysts to understand data requirements and deliver relevant datasets;
• 5. Troubleshoot and resolve data-related issues;
• 6. Ensure data quality and integrity in the data pipelines;
• 7. Research and evaluate new data technologies and tools for continuous improvement.

Qualifications

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

Certifications

Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle

Required Skills

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

Language

English

Language Proficiency -

Proficient - C2

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.