Python Developer

Genpact; New York (NY); Hybrid; USD 110,000 - 140,000; Full time

Job summary

Genpact in New York City is hiring a Python Engineer to design and implement data-driven solutions in a fast-paced AI and analytics environment. This role blends on-site collaboration with a hybrid schedule and a full-time commitment, focusing on building scalable data pipelines and data infrastructure.

You will work with Python, SQL, Spark, and AWS tools to automate data flows, support data governance, and partner with cross-functional teams to deliver impactful insights for global enterprises.

Qualifications

• Proficiency in Python, SQL, Spark/PySpark, AWS Glue, AWS Aurora (Postgres preferred), AWS S3, and dbt.
• Experience with multi-temporal data.
• Great Expectations, Jasper Reports, workflow experience (BPMN), .NET.
• Excellent verbal and written skills.
• Ability to work in a team environment.
• Ability to work effectively and efficiently with supervision.
• Capable of managing multiple tasks with tight time deadlines.
• Possess strong analytical ability and excellent attention to detail.
• Maintain a strong commitment to quality.
• Strong analytical skills.

Responsibilities

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
• Generate, present, and develop ideas for progressing the data environment, such as common frameworks or common methodologies, which the IM IT division will then use.
• Possess technical curiosity to explore new features in existing tools and technologies as well as explore new methodologies, features and tools that can be adopted by the IM IT division.
• Share, instruct, and coach the Investment Technology division on data topics such as best practices, design methodologies, and query optimization.
• Organize, liaison, and work with other development teams to onboard applications and processes onto the new data architecture (cloud technologies, replication, etc.).
• Desire to learn and become the subject matter expert on tools and technologies.
• Act as a liaison to the various development teams and other data teams to market and proliferate the data architecture doctrines, principles and standards.
• Help devise and implement pragmatic data governance principles and methodology.
• Perform detailed data analysis and validation.
• Assist with preparation, coordination, and execution of User Acceptance Testing.

Skills

Python

SQL

Spark/PySpark

AWS Glue

AWS Aurora

AWS S3

dbt

Multi-temporal data

Great Expectations

Jasper Reports

BPMN

.NET

Job description

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, innovative-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.

Inviting applications for the role of Python Engineer in NYC ,3 days from office Hybrid , day 1st onsite Fulltime role .

Responsibilities

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
• Generate, present, and develop ideas for progressing the data environment, such as common frameworks or common methodologies, which the IM IT division will then use.
• Possess technical curiosity to explore new features in existing tools and technologies as well as explore new methodologies, features and tools that can be adopted by the IM IT division.
• Share, instruct, and coach the Investment Technology division on data topics such as best practices, design methodologies, and query optimization.
• Organize, liaison, and work with other development teams to onboard applications and processes onto the new data architecture (cloud technologies, replication, etc.).
• Desire to learn and become the subject matter expert on tools and technologies.
• Act as a liaison to the various development teams and other data teams to market and proliferate the data architecture doctrines, principles and standards.
• Help devise and implement pragmatic data governance principles and methodology.
• Perform detailed data analysis and validation.
• Assist with preparation, coordination, and execution of User Acceptance Testing.

Preferred Qualifications/ Skills

• Python, SQL, Spark/PySpark,AWS Glue, AWS Aurora (preferably Postgres), AWS S3, dbt.
• Experience with multi-temporal data.
• Great Expectations, Jasper Reports, workflow experience (BPMN), .NET
• Excellent verbal and written skills.
• Ability to work in a team environment.
• Ability to work effectively and efficiently with supervision.
• Capable of managing multiple tasks with tight time deadlines.
• Possess strong analytical ability and excellent attention to detail.
• Maintain a strong commitment to quality.
• Strong analytical skills.

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.