Data Quality Engineer II
Description For Data Quality Engineer II
Mastercard, a global technology leader powering economies in over 200 countries, is seeking a Data Quality Engineer II to join their Services organization. This role is crucial in maintaining data integrity across our cutting-edge products that help customers grow worldwide.
As a Data Quality Engineer, you'll be at the forefront of ensuring data quality excellence by developing and implementing sophisticated testing frameworks at scale. The position combines technical expertise in data engineering with quality assurance methodologies, requiring collaboration with cross-functional teams to maintain the highest standards of data quality.
The role sits within Mastercard's Services organization, which provides innovative solutions including payments-focused consulting, loyalty programs, business experimentation, and data-driven risk management services. This team is fundamental to Mastercard's mission of connecting everyone to endless, priceless possibilities through secure, simple, and smart digital payments.
Your responsibilities will span from conducting detailed data profiling to implementing automated quality checks across complex data systems. You'll be tasked with developing frameworks that can be utilized across multiple products, establishing monitoring mechanisms, and working closely with stakeholders to understand and meet their data quality needs.
The ideal candidate brings 3+ years of relevant experience, with strong expertise in Python/R and SQL. You should be comfortable working with big data environments and have experience with ETL processes and analytical models. Your technical skills should be complemented by strong communication abilities and a collaborative mindset.
At Mastercard, you'll be part of a company that powers economies and empowers people worldwide. We offer a culture focused on decency and belonging, with opportunities for personal and professional growth. Join us in our mission to connect everyone to priceless possibilities while ensuring the integrity of our data systems.
This role requires a unique combination of technical expertise, analytical thinking, and business acumen. You'll work with cutting-edge technologies while helping maintain the high standards of data quality that our global operations depend on. If you're passionate about data quality and want to make an impact at a global scale, this role offers an excellent opportunity to do so.
Responsibilities For Data Quality Engineer II
- Conduct thorough data profiling and analysis to identify anomalies, inconsistencies, and inaccuracies in datasets
- Automate processes, data quality checks, and workflows across complex data systems
- Develop generic quality check frameworks for multiple products
- Design and implement data quality testing strategies and plans
- Create and maintain documentation related to data quality processes and standards
- Establish monitoring mechanisms to proactively identify data quality issues
- Collect data quality requirements from key partners
Requirements For Data Quality Engineer II
- 3+ years of experience in Data Quality/Data Modeling/Data Engineering fields
- Extensive Python or R experience
- Expert-level knowledge of SQL for complex data querying
- Experience with analytical and predictive models
- Experience with ETL transformations and workflows
- Experience working in Hadoop big data environments
- Strong understanding of data quality concepts and methodologies
- Strong collaboration skills
- Superior academic record with a degree in a technical field
- Strong written and verbal English communication skills
Benefits For Data Quality Engineer II
- Comprehensive benefits package
- Professional growth opportunities
- Personal development programs
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