Ready to build the future with AI?
At Genpact, we don’t just keep up with technology—we set the pace. 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, 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 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 genpact.com and on LinkedIn, X, YouTube, and Facebook.
We are inviting applications for the role of Lead Consultant– Data Engineer
This role supports business enablement, which includes understanding of business trends, provide data driven solutions at scale. Hire will be responsible for developing, expanding and optimizing our data pipeline architecture, as well as optimizing data flow and collaboration from cross functional teams.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from ground up either in on-prem or in cloud (AWS/Azure). The data engineer will support our software developers, database architects, data analyst and data scientists on data initiatives and will ensure optimal data delivery architecture.
Core data engineering work experience in Life Sciences/Healthcare/CPG for minimum 8 years
Work location: Bangalore
Responsibilities
Good years of professional experience in creating and maintaining optimal data pipeline architecture. Assemble large, complex data sets that meet functional/non-functional business requirements
Experience working on warehousing systems, and an ability to contribute towards implanting end-to-end, loosely couple/decoupled technology solutions for data ingestion and processing, data storage, data access, and integration with business user centric analytics/business intelligence frameworks
Advanced working SQL knowledge and experience working with relational databases, query authoring as well as working familiarity with a variety of databases
A successful history of manipulating, processing and extracting value from large disconnected datasets
Design, develop, and maintain scalable and resilient ETL/ELT pipelines for handling large volumes of complex data
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/Azure big data toolsets
Architecting and implementing data governance and security for data platforms on cloud
Cloud certification will be an advantage but not a mandate for this role
Experience in following software/tools :
Experience with relational SQL and NoSQL databases, including Postgres and MongoDB
Experience with big data tools : Hadoop, Spark, Kafka, etc
Experience with data pipeline and workflow management tools : Airflow, Luigi, etc
Experience with AWS Cloud services or Azure cloud services
Experience with scripting languages: Python or Java
Understanding with stream-processing systems: Spark-Streaming, etc
Strong project management and organizational skills
Ability to comprehend business needs, convert them into BRD TRD (Business/Technical requirement document), develop implementation roadmap and execute on time
Effectively respond to requests for ad hoc analyses.
Good verbal and written communication skills
Ownership of tasks assigned without supervisory follow-up
Proactive planner and can work independently to manage own responsibilities
Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations
Qualifications
Minimum qualifications
Master’s or bachelor’s in engineering - BE/B- Tech, BCA, MCA, BSc/MSc
Master’s in science or related
Why join Genpact?
Lead AI-first transformation – Build and scale AI solutions that redefine industries
Make an impact – Drive change for global enterprises and solve business challenges that matter
Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build
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.