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
Senior Data Engineer - Spark / Kafka / NiFi
Job Posting Title: Senior Data Engineer - Spark / Kafka / NiFi

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 culture is guided by the Mastercard Way—own it, simplify it, sense of urgency, thoughtful risk taking, unlock potential, and be inclusive.

Job Summary
We are seeking a highly skilled Senior Data Engineer with deep expertise in Testing, validating, Developing and supporting large-scale batch and real-time data platforms built on Apache Spark, Apache Kafka, and Apache NiFi.
The ideal candidate will have a strong background in distributed systems, streaming architectures, event-driven platforms, and cloud-native data processing.
The successful candidate will collaborate with cross-functional teams to design cutting-edge solutions, enhance platform capabilities, and ensure operational excellence in production environments.

Key Responsibilities
Develop, test, validate and maintain, scalable batch and real-time data processing applications using Apache Spark, Kafka, and NiFi.
Build validation suite for high-perform

📌 Senior Data Engineer (Pune)
🏢 Mastercard
📍 Pune