Specialist, Data Quality Developer
Tasks
- Apply tokenization detokenization masking and encryption
- Automate data quality checks
- Build ingestion validation and publication pipelines
- Collaborate with data architects governance teams and business SMEs
- Configure and operationalize data quality scorecards
- Configure data stewardship workflows
- Configure golden record survivorship logic
- Create documentation and training materials
- Define data quality rules and controls
- Design and implement MDM domain models
- Design data quality pipelines
- Enforce data governance policies and operating model
- Implement access controls for sensitive data
- Implement data privacy classification and retention practices
- Implement deduplication strategies
- Implement exception handling workflows
- Integrate data cataloging metadata and glossary
- Maintain metadata lineage and audit trails
- Monitor data quality KPIs and control effectiveness
- Perform root cause analysis for data quality issues
- Set data standards and crosswalks
- Support adoption of DQ and MDM tools
Perks/Benefits
- Disability plans
- Employee & Family Assistance Program
- Flex accounts
- Health and dental coverage
- Online training and career development
- Optional insurances
- Paid vacation
- Parental leave
- Pension package
- Personal leave
- Sick leave
- Virtual healthcare online
Skills/Tech-stack
APIs | Access Control | Atlan | Azure | Azure Data | Azure Data Services | Collibra | Data Cataloging | Data Classification | Data Governance | Data Lineage | Data Management | Data Modeling | Data Privacy | Data Quality | Data Security | Data Services | Data Stewardship | Data integration | Data masking | Detokenization | DevOps | ELT | ETL | Encryption | Informatica | Master Data | Master Data Management | Metadata Management | Microsoft Purview | Python | SQL | Tokenization
Education
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