Mastercard Hiring for Data Quality Engineer II at Gurugram, India Full Time

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

Data Quality Engineer II

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.

Data Quality Engineer

As a 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 analysis and engineering, quality assurance methods, and the ability to collaborate with cross-functional teams to identify and resolve data quality issues.

Responsibilities

• Conduct thorough data profiling and analysis to identify anomalies, inconsistencies, and inaccuracies in datasets

• Automate processes, data quality checks, and workflows to ease data validation processes across complex, interdependent data systems

• Develop generic quality check frameworks that can be utilized across multiple products

• Develop and execute comprehensive data quality testing strategies and plans to verify the implementation of data pipelines and data validations.

• Design and implement intuitive metrics that show stake holders the health of their data in an actionable format

• Conduct initial root cause analysis for data issues, collaborate with partners to clearly identify the issue, scope and impact, and path for research/solutioning

• Create and maintain documentation related to data quality processes and standards

Reporting

• Establish monitoring mechanisms to proactively identify data quality issues, and generate regular reports on data quality metrics for review

• Collect 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

Ideal Candidate Qualifications:

• 3+ years of experience in the DataQuality/DataModeling/DataEngineering fields

• Extensive Python or R experience to develop and maintain data quality scripts, tools, and frameworks.

• Expert-level knowledge of SQL for complex data querying and manipulation

• Experience with analytical and predictive models

• Experience with various ETL transformations and workflows

• Experience working in Hadoop big data environments

• Strong understanding of data quality concepts, methodologies, and best practices.

• Strong collaboration skills and ability to work effectively in a cross-functional, interdependent team environment

• Keen sense of prioritization and ability to time

• Superior academic record with a degree in a technical field

• Strong written and verbal English communication skills

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.