Lead Data Engineer - Data Engineering 4C

Genpact Ltd.; Kolkata District; Hybrid; INR 2,500,000 - 5,000,000; Full time

Job summary

Genpact Ltd. seeks a Lead Data Engineer to lead a data engineering team in building scalable big data pipelines and ETL workflows. You will ensure data quality, security, and performance while aligning with business needs across enterprise-scale systems.

You will mentor junior engineers, stay current with Spark, Airflow, and cloud data trends, and contribute to documentation and strategic data initiatives within a hybrid work environment.

Qualifications

• Bachelor's or higher in CS/DS with strong data engineering fundamentals.
• Hands-on experience designing scalable data pipelines and data models.
• Familiarity with cloud data platforms and data security best practices.

Responsibilities

• Lead a team of data engineers to develop big data solutions.
• Design and build scalable data pipelines and ETL processes.
• Ensure data quality, integrity, and security across systems.
• Collaborate with stakeholders to translate business requirements.
• Provide technical guidance and mentorship to junior engineers.
• Stay current with industry trends in Big Data technologies.
• Document data processes and infrastructure for operations.
• Troubleshoot performance issues and optimize data workflows.

Skills

Apache Spark

Airflow

Kafka

SQL

Data Engineering

ETL Processes

Snowflake

Terraform

Git

Education

Bachelor's in Computer Science

Master's in Data Science

Tools

Databricks

Azure Data Engineer

AWS

APIs

Job description

Lead Data Engineer - Data Engineering 4C### Lead Data Engineer - Data Engineering 4CApply: Hybrid: 1401-G-India: Imagine Tech Park, Plot no 6,Kolkata: Full time: Posted Today: End Date: March 31, 2027 (30+ days left to apply): JR10034522Lead 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 - Computer Science, Bachelors - Data Science, Bachelors - Statistics, Masters - Data Science**Certifications**Certified Data Management Professional - Riversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks Academy, Microsoft Certified: Azure Data Engineer Associate - Microsoft, Oracle Database 12c Certified Implementation Specialist - Oracle**Required Skills**Apache Airflow, Apache Kafka, Apache Spark, API Integration, AWS Data Pipeline, CI/CD, Databricks Platform, Data Engineering, Data ETL, Data Integration, Data Modeling, Data Quality, Git, Performance Tuning, Secure Coding Practices, Snowflake (Platform), Structured Query Language (SQL), System Performance Monitoring, Terraform (Software)**Language**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.