Sr Data Engineer (ml Knowledge)

Mastercard

Hybrid
Big data frameworks hadoop spark hive
Programming skills in python and sql
Machine learning algorithms and deep learning frameworks
Mastercard is seeking a Senior Data Engineer with expertise in machine learning and big data technologies to develop analytical solutions that enhance business insights from vast datasets. The role involves leading teams, managing projects, and ensuring the quality and compliance of machine learning products while fostering a culture of innovation and collaboration

Job Summary

  • Mastercard powers economies and empowers people worldwide by delivering secure, simple, and accessible digital payment solutions.
  • The Sr Data Engineer leads teams to create robust ML solutions leveraging Mastercard’s global data assets and software platforms.
  • The role involves mentoring junior developers, ensuring quality assurance, and driving innovation while maintaining data privacy and governance.

Matching Summary

Match Score: 85

Mastercard is seeking a Senior Data Engineer with expertise in machine learning and big data technologies to develop analytical solutions that enhance business insights from vast datasets. The role involves leading teams, managing projects, and ensuring the quality and compliance of machine learning products while fostering a culture of innovation and collaboration.

Skills & Requirements

Must-have

  • Big data frameworks Hadoop Spark Hive
  • Programming skills in Python and SQL
  • Machine learning algorithms and deep learning frameworks
  • Building and productionizing AI/ML applications
  • Data privacy and governance focus
  • Leadership in engineering teams
  • Consulting with clients and stakeholders

Nice-to-have

  • Experience with data visualization tools
  • Cloud computing services knowledge
  • Test-driven development practices
  • Productionizing GenAI products
  • Responsible AI principles awareness
  • Cross-functional collaboration
  • Innovation and continuous learning mindset

Key Requirements

  • Proven leadership experience in engineering teams
  • Strong applied knowledge in machine learning and deep learning
  • Experience with big data technologies and frameworks
  • Proficiency in Python and SQL programming
  • Ability to manage multiple projects and meet deadlines

Work Rights

Not specified

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