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Data Quality Engineer II

3 - 6 years

10 - 14 Lacs

Gurgaon

Posted:3 months ago| Platform: Naukri logo

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Skills Required

Data analysis Data validation Manager Quality Assurance Information security Analytical Consulting Data quality Risk management Monitoring SQL

Work Mode

Work from Office

Job Type

Full Time

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. 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

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Mastercard
Mastercard
www.mastercard.com

IT Services and IT Consulting

Purchase NY

10001 Employees

774 Jobs

    Key People

  • Michael Miebach

    CEO

  • Linda Kirkpatrick

    President of North America

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