Data Engineer (Pune)

Data Engineer (Pune)

18 Aug
|
Mastercard
|
Pune

18 Aug

Mastercard

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, straightforward, 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 ||

Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Our decency quotient, or DQ,



drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview

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, cloud platforms, and modern data engineering practices, who is eager to learn, grow, and collaborate with others. The individual will work closely with senior engineers and cross-functional teams to develop and maintain scalable data pipelines and

📌 Data Engineer (Pune)
🏢 Mastercard
📍 Pune

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