Partner, Data Engineer at MasterCard

MasterCardNigeria Data and Artificial Intelligence

Full Time

MasterCard Incorporated (NYSE: MA) or MasterCard Worldwide is an American multinational financial services corporation headquartered in the MasterCard International Global Headquarters, Purchase, New York, United States, in Westchester County. The Global Operations Headquarters is located in O'Fallon, Missouri, United States, a suburb of Saint Louis, Missouri. Throughout the world, its principal business is to process payments between the banks of merchants and the card issuing banks or credit unions of the purchasers who use the "MasterCard" brand debit and credit cards to make purchases. MasterCard Worldwide has been a publicly traded company since 2006. Prior to its initial public offering, MasterCard Worldwide was a cooperative owned by the 25,000+ financial institutions that issue its branded cards. MasterCard, originally known as Interbank/Master Charge, was created by several California banks as a competitor to the BankAmericard issued by Bank of America, which later became the Visa credit card issued by Visa Inc.. From 1966 to 1979, MasterCard was called "Interbank" and "Master Charge".

THE OPPORTUNITY

Reporting to the Head of Enterprise Data Management, the Data Engineer will build, maintain, and support data pipelines and storage solutions to deliver secure, reliable, and organized data for the Foundation, its Partners and Participants. You will play a key role in establishing new data capabilities for the Foundation and its Partners as part of a newly established Data and Analytics function. Collaborating with the wider Digital and Data Information Technology (DDIT) function, the Data Engineer will contribute to the Foundation’s recognition of its 2030 strategy by unlocking enhanced impact by providing data-driven insights.

WAYS YOU CAN CONTRIBUTE

Design and build systems and pipelines for ingesting, integrating, and analyzing data at scale across the Foundation. Support Data Scientists with cleaning, validating and enriching data to deliver high-quality data for analysis.
Design, develop and manage databases, data warehouses, and data lakes, leveraging best practice knowledge and prioritizing reliability, security and ease of use.
Design and implement data models to support system interoperability and BI and analytics requirements, working closely with Data Architects to develop and maintain architecture in accordance with core Data Architecture principles and Data Scientists to enable analytics use cases, ensuring efficient and reliable data flows across Foundation platforms. Support implementation of process automation where appropriate to drive efficiency.
Collaborate with the wider Data and Analytics team to drive ongoing improvement efforts to data pipelines and storage, fine tuning existing solutions to deliver advanced functionality and security for to the Foundation and its’ Partners and Participants while minimizing solution cost.
Collect and integrate data from diverse sources, across DDIT, the wider Foundation and its’ Partners.
Collaborate with the Data Governance team to ensure data engineering practices comply with relevant Foundation policies and frameworks.
Support the Data Governance and Processing team to provide regular reports on data system performance and data quality to key stakeholders within the DDIT and wider Foundation.
Maintain data management standards, promoting best practice ways of working related to data across the Foundation and its’ Partners to enhance data security and reliability.

WHO YOU ARE

Bachelor's degree, preferably in Computer Science, Electrical Engineering, Information Technology, or a related field.
7 years’ experience in data engineering, ETL development, or a related role.
Comprehensive understanding of data pipeline development and data modeling principles.
Comfortable developing and maintaining data pipelines using programming languages like Python and SQL to extract, transform, and load data from various sources.
Familiarity/experience with cloud-based data warehousing and platform technologies (e.g. SQL server, Microsoft Azure DW/Data Lake, AWS Redshift, etc.) and their data services.
Comfortable working flexibly and taking on a range of responsibilities to support their team.
Excellent organizational skills, with the ability to prioritize competing demands, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment.
Excellent communication and interpersonal skills, with the ability to communicate effectively across a large, multi-cultural organization.
Familiarity with project management tools, Microsoft Office Suite, and collaboration platforms.
Demonstrated commitment to the Foundation's equity, inclusion, and social impact values, with a passion for driving positive change and empowering underserved communities globally.