Lead Data Engineer - Data Engineering 4C

Genpact Ltd.; Uttar Pradesh; Hybrid; INR 2,000,000 - 3,200,000; Full time

Job summary

Genpact Ltd. is seeking a Lead Data Engineer to head a team responsible for building scalable data pipelines and data lake architectures in a hybrid Noida-based setup.

The role emphasizes data quality, security, and collaboration with business stakeholders to deliver impactful AI and analytics solutions. A strong background in PySpark, Snowflake, and Databricks is required for success.

Qualifications

• Bachelor's or master's degree in a related field such as CS, Analytics, Statistics, or Data Science is required.
• Strong hands-on experience with large-scale data pipelines and modern data platforms is essential.
• Attention to data quality, governance, and security in complex data environments is expected.

Responsibilities

• Lead a team of data engineers to design and implement Big Data solutions.
• Design and build scalable data pipelines and ETL processes.
• Ensure data quality, integrity, and security across data systems.
• Collaborate with stakeholders to translate business needs into technical solutions.
• Provide technical mentorship and guidance to junior team members.
• Stay current with industry trends in Big Data and data engineering.
• Analyze data and troubleshoot performance issues to optimize systems.
• Develop and maintain comprehensive documentation for data processes.

Skills

PySpark

Snowflake

Education

Bachelors - Business Analytics

Bachelors - Computer Science

Bachelors - Statistics

Masters - Data Science

Tools

Databricks Platform

Azure Data Engineer

Oracle DB

Job description

Lead Data Engineer - Data Engineering 4C### Lead Data Engineer - Data Engineering 4CApply: Hybrid: 1401-G-India: D-4, Sec 59, Noida: Full time: Posted Today: End Date: December 31, 2026 (30+ days left to apply): JR10034268Lead 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. Lead a team of data engineers in developing and implementing Big Data solutions; 2. Design and build scalable and reliable data pipelines and ETL processes; 3. Ensure data quality, integrity, and security across all data systems; 4. Collaborate with stakeholders to understand and address business requirements; 5. Provide technical guidance and mentorship to junior team members; 6. Stay current with industry trends and technologies related to Big Data and data engineering; 7. Perform data analysis and troubleshooting to optimize system performance and efficiency; 8. 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**PySpark, Snowflake (Platform)**Language**English (Required)**Language Proficiency -**Advanced - C1**Additional Job Location -****Job Type**Regular**Master Skill List -**Data Engineering**Remote Type -**Hybrid**Work Shift -**Day 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 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.