RESPONSIBILITIES
- Analysing Business requirement for completeness and accuracy
- Analysing Business requirements against the technical specifications (data modelling)
- Creating high level test scenarios
- Creating manual test cases
- Develops validation scripts for automated execution, while creating actionable data quality reports that measure trends over time.
- Monitoring the test pipelines
- Analysing test outputs and reporting defects
- Working closely with Business Analysts, Data Analysts/Scientists, Development, and Product Owners to ensure data housed in multiple source systems is valid and accurate.
- Participating in defect triage and sprint ceremonies
- Candidate will be involved in both automated and manual ETL testing across multiple scrum teams.
- Participation in architecting the logical design of data quality practices with the technical team, including DQ design and specifications, data modelling, and documentation of logical processing flows.
- Agile testing.
- Develop, documents, and implements data quality standards.
- Regularly review and interprets QA results and findings with limited support from senior leadership.
- Regularly review and interprets QA ...
Adatis
Adatis is a Data Analytics Consultancy that works with clients to deliver information solutions, helping businesses make better-informed decisions
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