Data Engineer ||

Mastercard is hiring a Data Engineer || in Pune.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Engineer ||

Preferred qualifications

• Exposure to orchestration and workflow tools such as Airflow, dbt, or Step Functions.
• Familiarity with data governance and cataloging concepts/tools such as Purview, Atlan, or Lake Formation.
• Basic exposure to containerization or infrastructure automation tools such as Docker or Terraform.
• Understanding of data quality, monitoring, and observability practices.
• Relevant cloud or data engineering certifications will be an added advantage.
• Exposure to machine learning data pipelines or MLOps concepts is a plus.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

About Mastercard

The Mastercard Services Technology team is looking for a Data Engineer to help drive our mission of unlocking the potential of data assets by improving how we manage, process, store, and access large-scale data across both cloud and on-premise environments. This role will contribute to building scalable and reliable data solutions while supporting engineering standards and best practices in the Big Data ecosystem. We are looking for a hands-on and motivated engineer with experience in PySpark, c