Senior Platform Engineer

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.

• Senior Platform Engineer Overview
• Provide world-class support and expertise to all of Master Card’s Big Data environments.
• Provide Big Data thought leadership and technology roadmaps to support Master Card’s vision and evolution.

• Represent Master Card’s Big Data Engineering team as a subject matter expert.
• Support Master Card’s present Big Data infrastructures.
• Integrate new technologies and platforms into current environments as technologies evolve and demands change.

• What technologies do you have hands‑on experience with, and what degree is that experience?
• In your current role, what new Big Data technologies have you integrated into your current environment and how?
• What experience do you have with migrating users and applications from traditional infrastructure and technologies to newer Big Data platforms?

• Work directly with application and development teams to completely understand all requirements for project and ad‑hoc requests and provide accurate estimates.
• Participate in a team of technical subject matter experts that provides 24x7 operational support of mission‑critical Big Data environments for highly‑available and contingent platforms.
• Create and maintain documentation and define department best practices in support of proper change management, security and operational requirements.
• Investigate and understand new technologies and additional capabilities of current platforms that support Master Card’s vision of Big Data, leading their adoption when appropriate.
• Educate peers and cross‑train teammates with Big Data concepts and application of technology to serve business needs.
• Interact with managed services resources and direct maintenance and operational support activities per Master Card standards and industry best‑practices.

• Strong knowledge of Hadoop platforms and other distributed data processing platforms.
• Linux/Unix and system administration:
  Advanced Linux knowledge is a must. Understanding of shell, debugging things etc. The candidate should be able to get their way around Linux and get things to work.
• Strong background in delivering mission‑critical Big Data project work while interacting with diverse and experienced teammates across the spectrum of enterprise operational functions.
• Troubleshooting:
  The candidate must be able to engage in solving complex problems. Programming problems are a good example.
• Programming:
  Good in one programming language. Java would be preferable. If not Java, the candidate must have a good handle on one language and display the ability to pick up a new one if required. Experience on programming infrastructure management or automation tools is a big plus.
• Communication skills:
  Excellent written and verbal communication skills – can communicate up to executive level. This comprises of clear and concise articulation of thoughts.

• Understanding of and experience with network engineering in support of large IT organizations.
• Knowledge in statistics and machine learning would be highly beneficial:
  The candidate should have a strong developed mentality with a focus on measuring and metrics.
• Knowledge and hands‑on experience with Kubernetes, as well as automation using tools (e.g. Python, Ruby, Chef, Ansible) is a plus.
• Background in ETL. Practical experience dealing with large ETL pipelines is a plus.
• Databases:
  Basic SQL knowledge a must. Good to have advanced data warehousing and MPP knowledge but it’s not a must have.

Mastercard is a merit‑based, inclusive, equal‑opportunity employer that considers…