Data Engineer - AWS, Python, DBT, Snowflake - 6-10 Years - Pune

Worldpay India Pte Ltd; Pune District; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Global Payments is seeking a Snowflake Developer to join Software Engineering and help unlock data potential across the business. You will design and implement large-scale data pipelines, optimize data models, and partner with analytics teams.

You should have 6–10 years of data engineering experience and a track record building robust architectures with AWS, Python, DBT and Snowflake. This role offers challenging projects and opportunities to grow in a global payments company.

Qualifications

• 6–10 years of Data Engineering experience.
• Proven track record building robust data architectures.
• Experience managing large-scale datasets and analytics support.

Responsibilities

• Create and maintain data models, databases, and data pipelines using AWS, Python, DBT, Snowflake.
• Implement ETL processes to integrate data from various sources into Snowflake.
• Optimize queries and data structures for performance and scalability.
• Collaborate with data engineers, analysts and stakeholders to support data-driven decision-making.
• Ensure data security and compliance with relevant regulations.

Skills

AWS

Python

DBT

Snowflake

Data modeling

Data pipelines

Job description

Ready to take your career global? Make your mark at one of the biggest names in payments. We're looking for Snowflake Developer to join Software Engineering and help us unleash the potential of every business.

What you'll own

Responsible for providing high-level consulting services to clients for Data Engineering assignments Designs, develop, and implementation of complex, large-scale data & ETL pipelines and related system projects. Reviews, analyzes, and modifies programming systems including encoding, testing, debugging, and installing for a complex, large-scale computer system

What you’ll bring

Demonstrated 6–10 years of Data Engineering experience, with a proven track record of building robust data architectures, managing large-scale datasets, and delivering reliable data solutions to support business and analytics needs.

• Create and maintain data models, databases, and data pipelines using AWS, Python, DBT, Snowflake.
• Data Integration: Implement ETL (Extract, Transform, Load) processes to integrate data from various sources into Snowflake.
• Performance Optimization: Optimize queries and data structures for performance and scalability.
• Collaboration: Work closely with data engineers, analysts, and other stakeholders to support data-driven decision-making.
• Security: Ensure data security and compliance with relevant regulations.

About the team

Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections – it’s unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders

What makes a GlobalPayer

Globalpayers think like a client, act like an owner and win as one team. We’re curious and innovative – always finding better ways to deliver impact. We empower each other to make decisions, and it’s our passion that drives excellence in everything we set out to do.

Does this sound like you? Then you sound like a Globalpayer.

At Global Payments (NYSE : GPN), we empower simple, fast, secure payments for everyone. And to do that, we’ve built a complete, worldwide commerce ecosystem that delivers software and services at scale to millions of companies around the world—from ambitious startups to global enterprises.

Our team of 27,000 experts is dedicated to your success.

Headquartered in Atlanta, Georgia, we're a Fortune 500® company and a member of the S&P 500 with worldwide reach spanning North America, Europe, Asia Pacific and Latin America.

Wherever you are—or wherever you want to be—we’re there, ready to support you.

For more information, visit company.globalpayments.com and follow Global Payments on X, LinkedIn and Facebook.

Accommodations:

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EEOC Statement: Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. Those applicants requiring reasonable accommodation to the application and/or interview process should notify [e-mail].