Lead Data Engineer - Data Engineering 4C

1401 Genpact India Pvt. Ltd.; Bengaluru; Hybrid; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Mentorship

World-class learning opportunities

Job summary

Genpact Bengaluru is seeking a Lead Data Engineer to lead a team of data engineers, design scalable ETL pipelines, and ensure data quality and security. The role involves collaborating with stakeholders, mentoring juniors, and staying ahead of Big Data trends.

Ideal candidates hold advanced analytics or CS degrees and have hands-on experience with Databricks and Snowflake. The position offers hybrid work and exposure to cutting-edge AI-driven data initiatives.

Qualifications

• Bachelor’s or Master’s degree in a relevant field (analytics, CS, stats, DS).
• Proven experience leading data engineering and Big Data initiatives.
• Strong understanding of ETL, data pipelines, data quality, and security.

Responsibilities

• Lead a team of data engineers in developing Big Data solutions.
• Design scalable data pipelines and ETL processes.
• Ensure data quality, integrity, and security across data systems.
• Collaborate with stakeholders to address business requirements.
• Provide technical guidance and mentorship to junior team members.
• Stay updated on Big Data trends and technologies.
• Perform data analysis and troubleshoot to optimize performance.
• Develop and maintain documentation for data processes and infrastructure.

Skills

Big Data

Data Engineering

Cloud Computing

Databricks Platform

Snowflake

Data Literacy

People Leadership

Agile Methodology

Education

Bachelor's in Business Analytics

Bachelor's in Computer Science

Bachelor's in Statistics

Master's in Data Science

Tools

Databricks Platform

Snowflake Platform

Job description

Lead 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

• Lead a team of data engineers in developing and implementing Big Data solutions
• Design and build scalable and reliable data pipelines and ETL processes
• Ensure data quality, integrity, and security across all data systems
• Collaborate with stakeholders to understand and address business requirements
• Provide technical guidance and mentorship to junior team members
• Stay current with industry trends and technologies related to Big Data and data engineering
• Perform data analysis and troubleshooting to optimize system performance and efficiency
• Develop and maintain documentation for data processes, systems, and infrastructure

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, 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, People Leadership, Personal Effectiveness, Risk Management, 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.