Data Engineer II

Our Purpose

We work 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. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Data Engineer II

The Global Business Services Center Service Management team is built upon strong contributors with leadership abilities, consulting mindsets, and strong project management skills. The group acts as an internal consultant supporting the Shared Services Organization which today supports three primary verticals: Finance, People & Capability, and Legal, Franchise & Integrity.

We are seeking a highly skilled and motivated data scientist to join our team. As a data engineer you will be responsible for collecting, analyzing, and interpreting large and complex data sets. You will use ETL tools to build data pipelines.

Role

- Execute projects through design, implementation, automation, and maintenance of large-scale enterprise ETL processes for GBSC.
- Develop repeatable and scalable code that processes client data in an automated and efficient manner to ensure data availability in the platform is as real-time as possible.
- Act as an expert data resource within the team.
- Monitor and improve data quality, ensuring accuracy, consistency, and integrity across datasets.
- Stay updated with emerging technologies and tools in data engineering, recommending and implementing solutions as needed.


All About You

- Implement and configure APIs, web services, and other integration mechanisms to enable seamless data flow between systems.
- Expertise with hands-on experience with RDMS technologies, preferably with Microsoft SQL Server & Oracle.
- Familiarity with ETL frameworks and the ability to design, implement, and maintain data pipelines.
- Understanding of data modeling concepts and database design to support scalable data solutions.
- Experience in data hygiene procedures, identity resolution capabilities or data management is a plus.
- Experience in data product development, analytical models, and model governance
- Familiarity with cloud platforms like Microsoft Fabric is a plus.

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.