Lead Consultant – Aws Data Engineer

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.  If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.  Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook. Inviting applications for the role of Lead Consultant – Aws Data Engineer In this role,We are looking for an experienced data engineer to design, develop, and maintain scalable data solutions on AWS. The ideal candidate will have a strong background in data engineering, cloud technologies, and analytics, with expertise in building robust data pipelines and optimizing data workflows. This role requires collaboration with cross-functional teams to deliver high-quality solutions that meet business needs.  Responsibilities Design and implement scalable solutions using AWS native technologies like AWS Lambda, AWS Dynamo DB, AWS batch, AWS Step functions and AWS Event Bridge Develop and optimize data storage solutions, with strong coding experience in Java/Python. Collaborate with stakeholders to understand business requirements and translate them into technical solutions.  Perform performance tuning and optimization of data workflows and queries.  Create documentation for data architecture, processes, and workflows to ensure knowledge sharing across teams.  Work closely with analytics teams to enable advanced reporting and machine learning capabilities. Qualifications we seek in you Minimum Qualifications Bachelor’s degree in computer science, Information Technology, or a related field. Strong experience working in AWS data services, data engineering & transformation projects. Strong understanding of data warehousing, ETL processes, OLAP concepts and data modelling concepts Strong communication and collaboration abilities. Experience on Agile way of working Mandatory Skills: Proficiency in AWS native technologies like AWS Lambda, AWS Dynamo DB, AWS batch, AWS Step functions and AWS Event Bridge.  Strong programming skills in Python / Java for data processing and transformation.  Experience with ETL/ELT processes and designing data pipelines.  Knowledge of cloud architecture principles and best practices for scalability and security.  Preferred Qualifications/ Skills Experience in Banking projects using AWS.  Certification in AWS (such as AWS Developer / architect).  Good communication& documentation skills, in both verbal and written. Strong problem-solving skills and ability to work in a fast-paced environment. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation  Make an impact – Drive change for global enterprises and solve business challenges that matter  Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities  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 tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.  Let’s build tomorrow together.