Lead Consultant- Data Engineer with experience of working in AWS-native tools and modern data architectures

Lead Consultant- Data Engineer with experience of working in AWS-native tools and modern data architectures.-COR

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 an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep 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 teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Lead Consultant- Data Engineer with experience of working in AWS-native tools and modern data architectures.

Role Overview

We are seeking a highly experienced Lead Consultant- Data Engineer with experience of working in AWS-native tools and modern data architectures. This role will lead data architecture design and implementation for client engagements, ensuring scalable, secure, and high-performing data solutions tailored to the unique data needs of life sciences commercial operations.

Key Responsibilities

Design, develop, and maintain scalable, high-performance data pipelines and ETL workflows on AWS using services like Glue, Lambda, Redshift, S3, Athena, EMR, and Step Functions.

Implement robust data ingestion, transformation, and processing pipelines for both batch and real-time streaming use cases.

Write and optimize complex SQL queries for data extraction, transformation, and loading across large datasets.

Develop Apache Spark jobs for large-scale data processing, with a focus on performance tuning and reliability.

Ensure data quality, consistency, and security by implementing data validation, governance, and monitoring mechanisms.

Collaborate closely with data architects, analysts, and other engineers to translate business requirements into efficient data workflows and models.

Participate in code reviews, contribute to technical discussions, and ensure adherence to best practices in data engineering and DevOps (CI/CD, version control, etc.).

Support the modernization and migration of legacy data systems to cloud-native AWS data platforms.

Troubleshoot and resolve data pipeline failures, performance bottlenecks, and infrastructure issues proactively.

Document data pipelines, processes, and standards to ensure maintainability and knowledge sharing.

Qualifications we seek in you

Minimum Qualifications

experience in data engineering, with hands-on experience in AWS cloud services.

Proficient in SQL and Apache Spark, with a strong track record of building and optimizing large-scale ETL jobs.

Experience with AWS services such as Glue, Redshift, S3, Lambda, Athena, EMR, and related tools.

Solid understanding of data warehousing, data lakes, and data modeling principles.

Experience in performance tuning for data pipelines and distributed processing workloads.

Familiarity with version control systems (e.g., Git) and CI/CD practices.

Preferred Qualifications

Experience in any additional data tools and platforms: Snowflake, Databricks (on AWS), dbt, Tableau, Power BI, etc.

Exposure to data governance and data quality frameworks.

Background in agile methodologies and collaborative development environments.

AWS certification(s) such as AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Associate or equivalent

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.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, colour, 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.

Job Lead Consultant Primary Location India-Hyderabad Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Sep 25, 2025, 9:50:45 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

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