Lead Data Engineer - Data Engineering 4C

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 This role is a senior engineer responsible for migrating Client’s most complex automations and re-usable components from Automation Anywhere to open-source Python on the Convergence home-grown platform. The Senior Software Engineer builds and migrates high-complexity use cases, reviews the work of junior engineers, and uses AI-assisted development to deliver at pace without sacrificing quality, supportability or auditability. The role is central to one of the core enablers of Client’s digital strategy – a modern, pro-code automation platform that drives efficiency, resilience, and cost savings across hundreds of business processes. The Senior Software Engineer sets the quality bar in day-to-day delivery, making sure new and migrated automations are correct, tested, supportable and audit-ready. Responsibilities: Migration & Development Migrate and rebuild the highest-complexity automation use cases from Automation Anywhere to Python on the Convergence platform. Use AI coding assistants to accelerate development, then critically review, test, and harden generated code so it behaves identically to the original. Build new automations and shared libraries that raise the productivity of the whole squad. Decompose legacy bots into clear specifications and reusable patterns that others can follow. Quality & Code Review Review code from T1 engineers and enforce CARS coding, testing, and audit standards before changes are merged. Design and implement automated test coverage that proves equivalence between migrated and legacy automations, including edge cases. Produce and maintain the test evidence required to meet ITGC audit standards. Catch subtly wrong AI-generated output that a junior engineer may miss, and coach the team on how to spot it and improve automated standards to prevent recurrence. Resolve complex production issues escalations and keep critical automations running. Improve monitoring, logging, and resilience of automations on the Convergence platform. Collaboration & Mentoring Mentor engineers and pair with them on complex or audit-sensitive work. Contribute to squad ceremonies, code reviews, and continuous improvement of the CARS development framework. Document automations, patterns, and decisions to support handoff, scalability, and audit. Scope: The role operates within a CARS DevOps squad in Brazil or GCC India, reporting to the Senior Manager, CARS, with technical direction from the squad’s Senior Software Architect and the CARS Senior Engineering Lead. The Senior Software Engineer is a hands-on technical leader within the squad and a first point of escalation for junior engineers. The associate works in an Agile delivery model where AI-assisted development is a core part of the workflow, paired with rigorous review and verification. Technology scope includes but is not limited to: Python, Git, CI/CD pipelines, automated testing frameworks, SQL Server, AI coding assistants, Automation Anywhere (source platform being retired), and the Convergence home-grown platform. Experience: • Professional software engineering with strong, production-grade Python • Working knowledge of object-oriented programming • Proven track record migrating, refactoring, or rebuilding complex codebases • Strong testing discipline and the ability to prove that code behaves correctly • Skill at reading, reviewing, and repairing code written by others, including AI-generated code Hands-on experience running software in production, including monitoring, incident response, and operational support Familiarity and comfort with SQL • Solid experience with version control (Git) and CI/CD • Strong problem-solving skills and sound engineering judgment • Fluent English (written and verbal) – required for global collaboration Preferred: • Experience migrating RPA automations (Automation Anywhere, UiPath, or Blue Prism) to code • Hands-on use of AI coding assistants (Cursor, GitHub Copilot, Gemini, Claude) • Experience mentoring or leading junior engineers • Cloud platform experience (Azure or GCP) 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, Client Relations, Collaboration Tools, Data Engineering, Data Literacy, Design Thinking Language English Language Proficiency - Proficient - C2 Additional Job Location - Job Type Regular Master Skill List - Data Engineering Remote Type - Office 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.