Data Quality Specialist
Tasks
- Complete data readiness checks before pilot or scale
- Define data quality requirements for AI and analytics
- Design data quality dashboards
- Discover bad quality data in APIs pipelines and AI ML models
- Establish data quality community
- Improve data pipelines and ML algorithms
- Maintain data quality metrics framework
- Manage data quality incidents and problems
- Provide data quality consulting
Perks/Benefits
- Employee resource groups
- Health insurance premium coverage
- Internet allowance
- Paid time off
- Pension plan
- Professional development
Skills/Tech-stack
Business Rules | Data Catalog | Data Governance | Data Modeling | Data Quality | Data Quality tooling | Quality tooling | SQL
Education
Regions
Countries
States
Cities
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