Senior Data Engineer

Mastercard — Pune, India

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 Data Engineer / Machine Learning Engineer Level 6 | FTE | Needed: Q3 Overview The Data Engineering team builds trusted, scalable datasets and pipelines that power analytics, BI, and machine learning use cases across Mastercard. This role will help design and deliver resilient data pipelines, curated data models, and ML-ready feature datasets while partnering closely with platform engineering, data science, and BI stakeholders. Role As a Data Engineer / MLE, you will: • Design, build, and maintain scalable batch and near-real-time data pipelines. • Develop curated datasets and data models that enable reliable analytics and ML workloads. • Implement pipeline reliability patterns (monitoring, alerting, retries, performance tuning). • Partner with data scientists to enable feature engineering and model operationalization. • Ensure secure data handling aligned to enterprise governance and compliance expectations. • Drive engineering best practices (code quality, testing, documentation, CI/CD where applicable). All About You Essential Skills (Must Have): • Strong proficiency in SQL and Python (or Scala) for data engineering. • Experience building data pipelines using distributed processing (e.g., Spark). • Solid understanding of data modeling (dimensional and/or lakehouse patterns) and data quality concepts. • Experience working with cloud data ecosystems (AWS preferred) and object storage / lake patterns. • Ability to troubleshoot

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