Senior Data Engineer

Mastercard · Pune, India · Posted 7 days ago

About this role

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 Senior Data Engineer – Spark / Scala / PySpark Job Summary We are looking for a highly skilled Senior Data Engineer with deep expertise in Apache Spark, Scala, and PySpark to build and operate large‑scale batch and streaming data processing systems. The role has a strong emphasis on real‑time streaming architectures using Kafka and Spark Structured Streaming, alongside ingestion and orchestration with Apache NiFi and scalable storage using Apache Ozone and Ceph. This position is ideal for engineers who enjoy solving complex performance, scalability, latency, and reliability challenges in production data platforms. Key Responsibilities Design, develop, and maintain large‑scale Spark applications using Scala and PySpark Build and operate streaming‑heavy data pipelines using Kafka and Spark Structured Streaming Implement stateful streaming patterns including windowing, watermarking, late data handling, and checkpointing Develop robust event re