Principal 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 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 Principal Consultant-AWS

Role Overview
We are seeking a highly experienced Team Lead with deep expertise in in AWS-native tools and modern data architecture. 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

•    Lead the technical implementation and delivery of AWS-based data solutions, ensuring alignment with business needs, performance goals, and compliance requirements.

•    Design and build scalable, secure, and cost-effective data pipelines, data lakes, and data warehouses using AWS-native services such as S3, Redshift, Glue, Lambda, Athena, EMR, Lake Formation, and Step Functions.

•    Provide hands-on expertise in SQL (advanced querying, tuning, and optimization), Apache Spark (ETL development, performance tuning, and cluster management), and end-to-end performance optimization of data pipelines, queries, and distributed data processing workloads.

•    Collaborate with data architects and business stakeholders to translate business requirements into technical specifications, data models, and integration designs.

•    Develop and maintain modular, reusable components and templates to accelerate delivery and ensure consistency across projects.

•    Contribute to the design and implementation of data ingestion, transformation, and analytics workflows using both batch and streaming paradigms.

•    Work closely with data engineers, analysts, and QA teams to ensure high-quality data delivery aligned with data governance, security, and quality standards.

•    Support data platform modernization initiatives, including migrations from legacy systems to cloud-native data architectures.

•    Promote and apply best practices for scalability, security, performance optimization, and cost efficiency in all technical implementations.

•    Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and technical excellence within the team.

Qualifications we seek in you:
Minimum Qualifications

•    industry experience, relevant years of experience in cloud-based data engineering or implementation with a focus on AWS. 

•    Solid experience with AWS-native data services, including Glue, Redshift, S3, Lambda, and related tools.

•    Strong hands-on experience in Advanced SQL, Spark for large scale distributed data processing and performance tuning of ETL pipelines

•    Good understanding of data modeling techniques\: relational, dimensional, data vault, and hybrid models.

•    Proven track record in leading technical delivery of end-to-end data engineering projects on AWS.

Preferred Qualifications

•    Exposure to additional data tools and platforms\: Snowflake, Databricks (on AWS), dbt, Tableau, Power BI, etc.

•    Prior experience in a consulting or client-facing role is highly desirable.

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

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.