\\\\Our Purpose\\\\ \Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were 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 Platform Engineer Overview Provide world-class support and expertise to all of MasterCards Big Data environments. Provide Big Data thought leadership and technology roadmaps to support MasterCards vision and evolution. Purpose of the Job Represent MasterCards Big Data Engineering team as a subject matter expert. Support MasterCards present Big Data infrastructures. Integrate new technologies and platforms into current environments as technologies evolve and demands change. Who would be the best fit for this role eg: 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? Role 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 MasterCards 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 MasterCard standards and industry best-practices. All About You Essential Knowledge, Skills and Experience 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. Desirable or Additional Capabilities 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 applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable\\ and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. \\\\Corporate Security Responsibility\\\\ All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: \\+ Abide by Mastercards security policies and practices; \\+ Ensure the confidentiality and integrity of the information being accessed; \\+ Report any suspected information security violation or breach, and \\+ Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. In line with Mastercards total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. \\\\Pay Ranges\\\\ O'Fallon, Missouri: $96,000 - $163,000 USD

The role requires strong knowledge of Hadoop platforms and other distributed data processing platforms. Advanced Linux knowledge, including system administration and debugging, is essential. The candidate must have a strong background in delivering mission-critical Big Data projects and possess troubleshooting skills for complex problems. Proficiency in at least one programming language, preferably Java, is necessary, with the ability to learn new languages. Basic SQL knowledge is a requirement.