Genpact
From Genpact's careers page
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Sr. Data Engineer
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.
Responsibilities: Design and develop scalable data processing systems; Implement and maintain data pipelines to ingest, process, and store large volumes of data; Optimize data infrastructure for performance and reliability; Collaborate with data scientists and analysts to understand data requirements and implement appropriate solutions; Troubleshoot and resolve data-related issues in a timely manner; Stay current with emerging technologies and trends in big data engineering; Mentor junior data engineers on best practices and technical skills.
Bachelors - Computer Science, Bachelors - Data Science, Bachelors - Statistics, Masters - Data Science
Certifications Azure Solutions Architect Expert - Microsoft, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks Academy, Databricks Certified Data Engineer Professional - Databricks Academy, Microsoft Certified: Azure Data Engineer Associate - Microsoft
Required Skills Apache Kafka, Apache Spark, Cloud Platform, Databricks Platform, Data Engineering, Data ETL, Data Integration, Data Quality, Data Stream, Data Warehousing (DW), Docker (Software), Git, Kubernetes, Performance Optimizations, Process Orchestration, Python (Programming Language), Quality Assurance (QA), Snowflake (Platform), System Performance Monitoring
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.
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.
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