Tech Lead - Application Development N 4C

Genpact Ltd.; Mumbai City; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Genpact Ltd. is seeking a Tech Lead - Application Development N to architect and lead data-engineering initiatives, including AI-enabled pipelines and cloud-based architectures.

The role focuses on scalable data platforms, governance, and performance optimization in a fast-moving, innovation-driven environment. As a technical leader, you will mentor engineers, collaborate with cross-functional teams, and drive modernization of legacy systems while aligning with business goals.

Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.
• Experience in data engineering, software engineering, or data platform development.
• Hands-on experience with Snowflake.
• Experience in AWS (or similar cloud platforms), including services such as S3, IAM, Athena, SNS, SQS, and EMR.
• SQL Server experience, including tools such as SSIS and SSRS.
• Proven ability to provide technical guidance and collaborate effectively within cross-functional engineering teams.
• Experience designing and supporting scalable distributed data systems using open-source and cloud-native technologies.
• Working experience with Agile delivery models such as Scrum or Kanban.
• Strong object-oriented design and software engineering fundamentals, including coding standards, testing practices, and maintainable architecture.
• Strong understanding of data modeling concepts and trade-offs across different data structures and use cases.
• Demonstrated ability to build partnerships across diverse teams and communicate effectively with technical and non-technical stakeholders.
• Track record of contributing to healthy team culture, accountability, and delivery outcomes.
• Financial industry data experience is preferred but not required.

Responsibilities

• AI & Automation Integration: Design and implement data pipelines that support machine learning, generative AI, and real-time analytics use cases.
• Modern Data Architecture: Develop scalable, cloud-based data solutions using Data Mesh, Lakehouse, and streaming patterns where appropriate.
• Data Governance & Ethics: Apply responsible AI principles and enforce data privacy, security, and regulatory compliance standards.
• Performance Optimization: Improve data platform performance through query tuning, distributed processing practices, and cloud cost optimization.
• Legacy Modernization: Support modernization of legacy systems using containerization, serverless services, and workflow automation.
• Collaboration & Technical Leadership: Work with business and engineering partners to deliver data solutions aligned to strategic goals; mentor engineers and contribute to technical direction.
• Documentation & Standards: Create and maintain architecture documentation, runbooks, and implementation standards.
• Security & Resilience: Implement secure-by-design patterns, disaster recovery capabilities, and reliability improvements for critical data services.
• Continuous Improvement: Evaluate and adopt emerging technologies (including AI-enabled tooling) that provide measurable value.
• Technology Evaluation: Review new platform features, upgrades, and tooling; provide recommendations for adoption.
• Business Continuity: Contribute to business continuity and disaster recovery requirements, methods, and procedures for data systems and databases.

Skills

Big Data Engineering

Data Engineering

DB2 SQL

SQL Database Management

Education

Bachelors - Computer Engineering

Bachelors - Computer Science

Bachelors - Information Technology

Masters - Software Engineering

Tools

Snowflake

AWS

SSIS

SSRS

Job description

Tech Lead - Application Development N

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

• AI & Automation Integration: Design and implement data pipelines that support machine learning, generative AI, and real-time analytics use cases.
• Modern Data Architecture: Develop scalable, cloud-based data solutions using Data Mesh, Lakehouse, and streaming patterns where appropriate.
• Data Governance & Ethics: Apply responsible AI principles and enforce data privacy, security, and regulatory compliance standards.
• Performance Optimization: Improve data platform performance through query tuning, distributed processing practices, and cloud cost optimization.
• Legacy Modernization: Support modernization of legacy systems using containerization, serverless services, and workflow automation.
• Collaboration & Technical Leadership: Work with business and engineering partners to deliver data solutions aligned to strategic goals; mentor engineers and contribute to technical direction.
• Documentation & Standards: Create and maintain architecture documentation, runbooks, and implementation standards.
• Security & Resilience: Implement secure-by-design patterns, disaster recovery capabilities, and reliability improvements for critical data services.
• Continuous Improvement: Evaluate and adopt emerging technologies (including AI-enabled tooling) that provide measurable value.
• Technology Evaluation: Review new platform features, upgrades, and tooling; provide recommendations for adoption.
• Business Continuity: Contribute to business continuity and disaster recovery requirements, methods, and procedures for data systems and databases.

Job Requirements

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.
• Experience in data engineering, software engineering, or data platform development.
• hands‑on experience with Snowflake.
• experience in AWS (or similar cloud platforms), including services such as S3, IAM, Athena, SNS, SQS, and EMR.
• SQL Server experience, including tools such as SSIS and SSRS.
• Proven ability to provide technical guidance and collaborate effectively within cross-functional engineering teams.
• Experience designing and supporting scalable distributed data systems using open-source and cloud-native technologies.
• Working experience with Agile delivery models such as Scrum or Kanban.
• Strong object-oriented design and software engineering fundamentals, including coding standards, testing practices, and maintainable architecture.
• Strong understanding of data modeling concepts and trade-offs across different data structures and use cases.
• Demonstrated ability to build partnerships across diverse teams and communicate effectively with technical and non-technical stakeholders.
• Track record of contributing to healthy team culture, accountability, and delivery outcomes.
• Financial industry data experience is preferred but not required.

Qualifications

Bachelors - Computer Engineering, Bachelors - Computer Science, Bachelors - Information Technology, Masters - Software Engineering

Certifications

AZ-204: Microsoft Azure Developer Associate - MicrosoftMicrosoft, BUILD - DIGITAL MARKETING - GenpactGenpact, ISTQB Certified Tester - International Society for Technology in Education (ISTE)International Society for Technology in Education (ISTE), Microsoft Certified: Power Platform App Maker Associate - MicrosoftMicrosoft, Oracle Certified Professional, Java SE 8 Programmer I - OracleOracle

Required Skills

Big Data Engineering, Data Engineering, DB2 SQL, SQL Database Management

Language

English (Required), English (Required)

Language Proficiency

Proficient - C2

Job Type

Regular

Master Skill List

Application Development N

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.