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Lead Data Quality Engineer
MasterCard
posted 4mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Data Analysis
- Conduct thorough data profiling and analysis to identify anomalies, inconsistencies, and inaccuracies in datasets
- Identify new methods of detecting data anomalies.
- Automation
- Automate processes, data quality checks, and workflows to ease data validation processes across complex, interdependent data systems
- Quality Engineering
- Implement, and maintain a robust data quality framework to assess, monitor, and report the quality of data across various systems and platforms
- Design and 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.
- Develop and implement manual and automated test cases to ensure reliability of data pipelines, data migration processes and data transformations
- Design and implement intuitive metrics that show stake holders the health of their data in an actionable format
- Develop test strategies and validation steps for Analytical Data Models
- Conduct initial root cause analysis for data issues, collaborate with partners to clearly identify the issue, scope and impact, and path for research/solutioning
- Documentation
- 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
- Mentoring
- Provide 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
- 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
- Collaborate 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
- Collaborate across teams as a data quality advocate, guiding on the need to balance which data/sources require high accuracy versus directionally accurate data
Employment Type: Full Time, Permanent
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based on 659 employees
Flexible timing
Monday to Friday
No travel
Day Shift
MasterCard Benefits
Work From Home 
Health Insurance 
Cafeteria 
Gymnasium 
Education Assistance 
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