Responsibilities
- Detect and address data quality problems in collaboration with cross-functional teams.
- Define data quality benchmarks and measurable indicators in coordination with stakeholders.
- Continuously observe data quality using both automated systems and manual reviews.
- Analyze root causes of data quality failures and coordinate corrective actions.
- Design workflows to validate data quality during ingestion and processing stages.
- Educate internal teams on data quality best practices and standards.
- Advocate for process enhancements that strengthen data reliability and accessibility.
- Guide and support data engineering staff on quality-focused methodologies.
- Conduct tests to verify data correctness, consistency, and completeness across platforms.
- Create automated testing frameworks to improve data service validation efficiency.
- Implement automated regression, functional, integration, and performance testing procedures.
- Communicate data issues clearly to BI developers during regular meetings and standups.
- Report data problems effectively to data engineers and analysts in team discussions.
- Assess and prioritize live data incidents, coordinating resolution across teams.
- Take initiative in resolving data challenges and recommending workflow optimizations.
- Deliver test coverage reports and defect analytics to inform release readiness.
Benefits
- 22 days of paid annual leave
- 10 public and national holidays observed annually
- Options for health insurance coverage
- Subscription access to digital learning resources
- On-site English language instruction available in select regions
Responsibilities
- Detect and address data quality problems in collaboration with cross-functional teams.
- Define data quality benchmarks and measurable indicators in coordination with stakeholders.
- Continuously observe data quality using both automated systems and manual reviews.
- Analyze root causes of data quality failures and coordinate corrective actions.
- Design workflows to validate data quality during ingestion and processing stages.
- Educate internal teams on data quality best practices and standards.
- Advocate for process enhancements that strengthen data reliability and accessibility.
- Guide and support data engineering staff on quality-focused methodologies.
- Conduct tests to verify data correctness, consistency, and completeness across platforms.
- Create automated testing frameworks to improve data service validation efficiency.
- Implement automated regression, functional, integration, and performance testing procedures.
- Communicate data issues clearly to BI developers during regular meetings and standups.
- Report data problems effectively to data engineers and analysts in team discussions.
- Assess and prioritize live data incidents, coordinating resolution across teams.
- Take initiative in resolving data challenges and recommending workflow optimizations.
- Deliver test coverage reports and defect analytics to inform release readiness.
Benefits
- 22 days of paid annual leave
- 10 public and national holidays observed annually
- Options for health insurance coverage
- Subscription access to digital learning resources
- On-site English language instruction available in select regions
