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Location
In office (Phoenix)
Seniority
Senior
Visa
H-1B filings in 12 months: 183 · for this role: 22 · green card filings: 17
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Oct 7, 2026. Genpact scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Genpact is a professional services company that began in 1997 as a business process unit inside GE Capital in India, and was spun out as an independent firm in 2005. It runs finance and accounting, supply chain, procurement, risk and customer operations on behalf of large enterprises, combining offshore delivery with process reengineering and increasingly with automation rather than pure labour arbitrage. Headquartered in New York and listed on the New York Stock Exchange, the company employs well over a hundred thousand people, mostly in India, and has repositioned its offering around agentic AI embedded into the processes it already operates.
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.

Job Description

A senior data engineer designs, builds, and scales an organization's core data infrastructure, transforming raw information into clean, reliable assets for analytics and AI

Key Responsibilities

Pipeline Architecture: Build and maintain scalable ETL (Extract, Transform, Load) or ELT workflows to move data safely from source systems to cloud storage.

Data Modeling: Design high-performance analytical schemas using modern cloud data stacks (such as data lakes, warehouses, or lakehouses)

Data Quality & Governance: Implement automated testing, lineage tracking, and security controls to ensure data accuracy and compliance.

Performance & Cost Optimization: Monitor cloud computing resources to make queries faster and reduce operational expenses.

Leadership & Collaboration: Mentor junior engineers, review code, and translate complex business needs into technical solutions

Core Requirements & Skills

Programming: Advanced SQL and production-grade Python or Scala.

Cloud Platforms: Hands-on experience with AWS, Azure, and modern tools like Databricks.

Orchestration & Tools: Proficiency with workflow managers like Apache Airflow or Azure Data Factory, and transformation tools like dbt.

Experience: Relevant data engineering background

Qualifications

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications

Azure Solutions Architect Expert - MicrosoftMicrosoft, Cloudera Certified Professional (CCP) Data Scientist - UpgradUpgrad, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Data Engineer Professional - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft

Required Skills

Agile Methodology, Banking Capital Markets, Client Relations, Cloud Computing, Collaboration Tools, Commercial Sales, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Data Literacy, Design Thinking, Electronic Hardware, Executive Presence, Inclusion, Manufacturing Equipment, Personal Effectiveness, Semiconductors, Snowflake (Platform), Sourcing and Procurement, Storytelling

Language

English

Language Proficiency -

Proficient - C2

Additional Job Location -

Job Type

Regular

Master Skill List -

Data Engineering

Remote Type -

Office

Work Shift -

Flex Time (India)

Why join Genpact?

  • 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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