Title and Summary

Senior Software Engineer - Data Engineer / Data Science - ML, AI, Hadoop, Pyspark

Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview
Data Science and Artificial Intelligence represents the next phase in the advancement of our digital transformation and is a significant evolution for MasterCard. We continue to evolve our Data Science and AI strategy to support aggressive growth plans, and we are seeking a Senior Software Engineer to join our team. Are you eager to leverage your skills to build and deploy game-changing solutions? If so, we want to hear from you!

Responsibilities:
• Participate in team prioritization discussions with Product/Business stakeholders
• Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements.
• Automate build, operate, and run aspects of software
• Drive code/design/process trade-off discussions within their team when required
• Report status and manage risks within their primary application/service
• Drive integration of services focusing on customer journey and experience
• Perform demos/acceptance discussions in interacting with Product owners
• Develop complete understanding of end-to-end technical architecture and dependency systems.
• Drive adoption of technology standards and opinionated frameworks, and review coding, test, and automation work of team members
• Mentor and guide new and less-experienced team members.
• Identify opportunities to improve an overall process and trim waste.
• Share and seek knowledge within their Guild/Program to drive reuse of patterns/libraries/practices and enhance productivity.

Skills & Experience:
• Bachelor's degree in computer science, Software Engineering, or a related field
• 4+ years of experience in Software Engineering with exposure to Data Engineering or Data Science
• Strong proficiency in programming languages like Python, Java, or Scala.
• Familiarity to basic AI/ML concepts ( model training, serving etc)
• Understands internals of operating systems (Windows, Linux) to write interoperable and performant code.
• Able to perform debugging and troubleshooting to analyze core, heap, thread dumps and remove coding errors.
• Understands and implements standard branching (e.g., Gitflow), peer reviews and CI/CD practices (e.g. Jenkins)
• Has skills in test driven and behavior driven development (TDD and BDD) to build just enough code and collaborate on the desired functionality.
• Understands and implements Application Programming Interface (API) standards and cataloging to drive API/service adoption and commercialization.
• Apply tools (e.g., Sonar, Checkmarx) and techniques to scan and measure code quality and anti-patterns as part of development activity.
• Has skills to collaborate with team and business stakeholders to estimate requirements (e.g., story pointing) and prioritize based on business value.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Familiarity with cloud platforms (AWS, Azure, Databricks) is a plus.

#AI

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 Mastercard's 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 Mastercard's guidelines.