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

Lead Data Quality Engineer

Job Description

The Services organization is a key differentiator for Mastercard, providing cutting-edge products that help our customers grow. Focused on thinking big and scaling fast around the globe, this team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services.


Who is Mastercard?
We are the 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.

Lead Data Quality Engineer

As a Lead Data Quality Engineer, you will have the chance to tap into your expertise and knowledge to champion data quality by crafting and deploying testing at scale. This role requires a deep understanding of data quality principles, quality assurance methods, and the ability to collaborate with cross-functional teams to identify and resolve data quality issues. At the same time, you will increase data reliability and consistency across complex datasets and communicate the health of the data pipeline to varying levels of analysts and partners in the organization. Someone in this role is expected to implement proactive data quality strategies which are both scalable and maintainable.

Responsibilities
Data Analysis
•\tConduct thorough data profiling and analysis to identify anomalies, inconsistencies, and inaccuracies in datasets
•\tIdentify new methods of detecting data anomalies.
Automation
•\tAutomate processes, data quality checks, and workflows to ease data validation processes across complex, interdependent data systems
Quality Engineering
•\tImplement, and maintain a robust data quality framework to assess, monitor, and report the quality of data across various systems and platforms
•\tDesign and develop generic quality check frameworks that can be utilized across multiple products
•\tDevelop and execute comprehensive data quality testing strategies and plans to verify the implementation of data pipelines and data validations.
•\tDevelop and implement manual and automated test cases to ensure reliability of data pipelines, data migration processes and data transformations
•\tDesign and implement intuitive metrics that show stake holders the health of their data in an actionable format
•\tDevelop test strategies and validation steps for Analytical Data Models
•\tConduct initial root cause analysis for data issues, collaborate with partners to clearly identify the issue, scope and impact, and path for research/solutioning
Documentation
•\tCreate and maintain documentation related to data quality processes and standards
Reporting
•\tEstablish monitoring mechanisms to proactively identify data quality issues, and generate regular reports on data quality metrics for review
Mentoring
•\tProvide training and guidance to team members on data quality best practices and principles. Facilitate knowledge sharing sessions to promote a culture of data quality awareness.
Collaboration
•\tCollect data quality requirements from key partners, seeking to understand the subjective “quality” measures that are important to data consumers to build and maintain trust in our data & products
•\tCollaborate with Data Engineers, Data Analysts, and business leaders to understand data quality challenges within data workflows and how the data is used by Mastercard products and customers
•\tCollaborate across teams as a data quality advocate, guiding on the need to balance which data/sources require high accuracy versus directionally accurate data
Ideal Candidate Qualifications:
•\t8+ years of experience in the DataQuality/DataModeling/DataEngineering fields
•\tExtensive Python or R experience to develop and maintain data quality scripts, tools, and frameworks.
•\tExpert-level knowledge of SQL for complex data querying and manipulation
•\tExperience with analytical and predictive models
•\tExperience with various ETL transformations and workflows
•\tExperience working in Hadoop big data environments
•\tStrong understanding of data quality concepts, methodologies, and best practices.
•\tExperience with data quality tools and technologies
•\tExperience with Data Management
•\tStrong collaboration skills and ability to work effectively in a cross-functional, interdependent team environment
•\tMotivation, creativity, self-direction, and desire to thrive on small project teams
•\tKeen sense of prioritization and ability to time
•\tSuperior academic record with a degree in a technical field
•\tStrong written and verbal English communication skills
•\tEager to experiment with new team processes and innovate on testing approach

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.