Senior Data Engineer (Pune)

Senior Data Engineer (Pune)

12 Aug
|
Mastercard
|
Pune

12 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, easy, 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
 Job Overview
 The Senior Software Engineer will do the design, development, and delivery of advanced big data solutions within the Hadoop ecosystem.
 This role involves architecting and implementing scalable data processing frameworks, ensuring high performance and reliability across distributed systems.
 The engineer will research and evaluate emerging technologies to optimize data workflows and meet evolving business needs.
 Additionally, the position requires hands-on expertise in Cloudera distribution and related tools,



ensuring seamless orchestration and integration of data pipelines.
 The Senior Software Engineer will also be responsible for maintaining operational excellence, meeting SLA requirements, and mentoring team members to drive technical innovation and best practices.
 Role
 Contribute individually to the design, development, and implementation of large-scale data engineering solutions within the Hadoop ecosystem, ensuring high performance, scalability, and reliability.
 Drive end-to-end technical delivery for projects involving Cloudera distribution, Apache Ozone, Apache Iceberg, Apache Airflow, Apache NiFi, and Apache Spark.
 Collaborate with cross-functional teams to define architecture, technical standards, and best practices for big data platforms and workflows.
 Perform rigorous performance benchmarking and optimization for newly developed distributed frameworks, ensuring efficient parallel proce

📌 Senior Data Engineer (Pune)
🏢 Mastercard
📍 Pune

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