Senior Software Engineer (Pyspark, Hadoop, Python, SQL, Airflow)

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.

Title and Summary

Senior Software Engineer (Pyspark, Hadoop, Python, SQL, Airflow)

Overview
Responsible for the analysis, design, development and delivery of software solutions. Defines requirements for new applications and customizations, adhering to standards, processes and best practices.
Role 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
• Understands operational and engineering experience, actively works to improve experience and metrics in ownership area
• 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
All about you
• Data Engineering Experience
• Experience in the following platforms: Python, Pyspark, SQL, Hadoop, Airflow
• Good knowledge of Linux / Bash environment
• Nice to have - Data Quality automation, CI/CD, Jenkins, Oracle, Power BI, Splunk
• Good communication skills
• Highly skilled problem solver
• Exhibits a high degree of initiative
• At least an undergraduate degree in CS, or a STEM related field
• Understands and implements methods to evaluate own work and others for error

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.