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

Overview

Data Engineer role on the Software Engineering team at Global Payments, providing consulting services to clients on data engineering assignments.

What you'll do

• Design, develop and implement complex, large-scale data and ETL pipelines and related system projects.
• Review, analyze and modify programming systems, including encoding, testing, debugging and installing, for a complex, large-scale computer system.
• Create and maintain data models, databases and data pipelines using AWS, Python, DBT and Snowflake.
• Implement ETL (Extract, Transform, Load) processes to integrate data from various sources into Snowflake.
• Optimize queries and data structures for performance and scalability.
• Work closely with data engineers, analysts and other stakeholders to support data-driven decision-making.
• Ensure data security and compliance with relevant regulations.

What you'll need

• Demonstrated 6–10 years of Data Engineering experience.
• Proven track record of building robust data architectures, managing large-scale datasets and delivering reliable data solutions to support business and analytics needs.
• Experience with AWS, Python, DBT and Snowflake.

Details

• Location: Pune, India.