Data Engineer - Data Engineering 4A

Genpact; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Genpact Bengaluru is seeking a Data Engineer to turn bold ideas into scalable data solutions. You will develop ingestion pipelines, optimize data storage, and collaborate with data scientists to deliver quality datasets.

The role offers exposure to cutting-edge AI-driven data platforms and opportunities to contribute to enterprise-scale data initiatives in a fast-moving environment.

Qualifications

• Bachelor degrees in Analytics/CS/Statistics are required or preferred.
• Masters in Data Science with related certifications is beneficial.
• Databricks/Azure/Oracle certifications enhance candidacy.

Responsibilities

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

Skills

Agile

Cloud computing

Collaboration tools

Data engineering

Data literacy

Design thinking

Executive presence

Inclusion

Manufacturing equipment

Personal effectiveness

Snowflake

Sourcing & procurement

Storytelling

Education

Bachelors in Business Analytics

Bachelors in Computer Science

Bachelors in Statistics

Masters in Data Science

Tools

Databricks

Azure Data Engineer Associate

Oracle Database

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:

• Develop and implement data ingestion processes;
• Design and optimize data storage and retrieval solutions;
• Build and maintain ETL processes to transform and load data into data lake/warehouse;
• Collaborate with data scientists and analysts to understand data requirements and deliver relevant datasets;
• Troubleshoot and resolve data-related issues;
• Ensure data quality and integrity in the data pipelines;
• 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
• Cloud Computing
• Collaboration Tools
• Data Engineering
• Data Literacy
• Design Thinking
• Executive Presence
• Inclusion
• Manufacturing Equipment
• Personal Effectiveness
• Snowflake (Platform)
• Sourcing and Procurement
• Storytelling Language English Language Proficiency - Proficient - C2

Additional Job Location - Job Type Regular

Master Skill List - Data Engineering

Remote Type - Office Work Shift - Evening Job (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

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 or 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. We're an agentic and advanced technology solutions company that runs mission‑critical operations for the world's leading companies, while building and deploying the agentic products and technology that power those operations. Our teams bring deep expertise to shape what AI can do and change how businesses actually run. Join us to build the career you want — and be on it because you'll be in it. At Genpact, your expertise grows because you're inside the work. Whether you build AI systems or bring deep knowledge of how businesses run, you'll work on real challenges that change how the world's leading companies operate. There's a lot to learn here, and room to grow.