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Lead Data Engineer

Mastercard·Hyderabad

Pay not stated10–12 yrsFull-time
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About the role

Mastercard powers the global economy by enabling secure, seamless, and intelligent payments across the world. Behind every transaction is a sophisticated technology ecosystem that processes billions of payment events with speed, resilience, and precision.

What you'll do

  • Data Engineering & Development
  • Design, develop, test, and deploy high-quality, secure, scalable, and resilient data pipelines using Apache Spark
  • Build and maintain batch and near real-time data processing frameworks capable of supporting petabyte-scale workloads
  • Develop reusable engineering components and frameworks that accelerate data product delivery while maintaining enterprise standards
  • Architecture & Platform Engineering

What you need

  • 10–12 years in data science & ai
  • SQL
  • ETL
  • AWS
  • Data warehousing
  • Spark
  • Hadoop
  • Any graduate

Good to have

  • Airflow
  • Java
  • Scala
  • NoSQL
  • Oracle Database
  • Cassandra

What you get

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