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
Analyst, Big Data Analytics & Engineering

About 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, straightforward, smart, and accessible. Through secure data, trusted networks, partnerships, and innovation, we enable individuals, financial institutions, governments, and businesses to realise their greatest potential.

Our culture is defined by our Decency Quotient (DQ), guiding how we work,



collaborate, and create impact—inside and outside our company. With a presence across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

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About The Role
The Data Engineer will design, build, and operate scalable data pipelines and curated datasets that power analytics products, reporting, and advanced modeling. Working closely with the Lead and cross-functional partners (Product, Data Science, and Platform teams), this role focuses on reliability, performance, data quality, and governance across batch and (where applicable) streaming workloads.

Key Responsibilities
- Build and maintain robust ETL/ELT pipelines for ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms.
- Develop high-performance data processing

📌 Analyst, Big Data Analytics (Pune Division)
🏢 Mastercard
📍 Pune Division