Sr. Data Quality Engineer

Responsibilities :

• Develop, implement, and manage data quality processes to ensure accuracy, completeness, and reliability of data from machine learning models, data science processes, and external sources.
• Create and maintain data validation checks and automated quality monitoring systems.
• Collaborate closely with data scientists, data engineers, and product teams to understand and proactively address data quality challenges.
• Perform root cause analysis and resolve complex data issues, ensuring continuous improvement of data quality processes.
• Establish quality metrics and KPIs to track and report data quality status and progress to stakeholders.
• Design and document standards and best practices for data quality management.
• Mentor junior team members, providing technical leadership and guidance on data quality strategies and tools.

Qualifications :

Preferred Skills :

Role Description :

We are seeking a highly skilled Senior Data Quality Engineer to join our team and ensure the integrity and accuracy of data flowing through our advanced analytics, machine learning pipelines, and data-driven products. The ideal candidate is detail-oriented, technically proficient, and passionate about data excellence and quality assurance.

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