Description
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 Data Engineer - Python. Spark & SQL Overview-Mastercard is a global technology company behind the world's fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.
Our Data Warehouse provides analytical capabilities to a number of business users who help different customers provide answers to their business problems through data. You will play a vital role within a rapidly growing organization, while working closely with experienced and driven engineers to solve challenging problems.
Role
• Modernize existing systems as needed, while also maintaining and supporting the current legacy applications
• Follow MasterCard Quality Assurance and Quality Control processes
• Leverage new technologies and approaches to foster innovation when handling increasingly large data sets
• Work together with the project team to meet scheduled deadlines and identify any new issues, offering solutions to resolve problems as they arise
• Provide recommendations to uphold essential standards and processes, while proactively identifying opportunities to enhance standards and streamline workflows for greater efficiency
All About You
• Skilled in Data Engineering and experienced in delivering several end-to-end data warehouse projects within Big Data environments
• Experience in developing data pipelines using Spark with Python or Java on Hadoop or object storage
• Extensive experience working with Python programming
• Prior experience of working in a Unix environment is required.
• Experienced in working with RDBMS databases and possess strong SQL skills
• Having experience with AI/ML and deep learning algorithms would be considered a valuable asset.
• Experience of working on Nifi will be an added advantage
• Experience of working with APIs will be an added advantage
• Experience with machine learning and deep learning algorithms will be an added advantage
• Experience of working in Agile teams
• Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan
• Strong communication skills - both verbal and written – and strong relationship, collaboration skills and organizational skills
• Capable of managing several projects simultaneously, collaborating with both internal and external teams, and offering technical guidance to junior colleagues
• Demonstrates high energy, attention to detail, and a proactive approach, with the ability to work independently under pressure. Shows strong initiative and self-motivation to achieve results
• Proficient in rapidly adopting new technologies and executing PoCs to identify optimal solutions
• Adaptable team player with experience collaborating across diverse, matrix-structured, and globally distributed project teams
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.
Apply on company website
Find Connections via Linkedin
