Data QA Specialist
Q4
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Toronto, ON, Canada
Responsibilities:
- Work with business owners and data engineers to understand metadata about systems, processes, reports, controls, data movement, and business terminology.
- Contribute to agile story refinement/defining requirements.
- Analyze data for compliance to design specification (source-to-target) and expected/anticipated behaviors, identifying quality issues.
- Perform root cause analysis on data issues and recommend data quality controls to resolve gaps/issues.
- Actively communicate to stakeholders quality issues about the way data is collected, stored, processed, or used.
- Perform audits, as required, to ensure quality processes exist and are being adhered to.
- Communicate the pervasiveness of data quality problems and their potential impacts and take the lead in resolving them via data integration and/or business process improvement.
- Investigate, troubleshoot, and document data issues.
- Assist other teams in the design of quality checks, to ensure data quality objectives are met, as well as participate in cross-functional teams and development/improvement task forces.
- Build, update and maintain dashboards that report on key business and data quality metrics.
Tasks:
- Create, maintain and execute tests targeting data completeness and integrity using sql/scripts.
- Participate in all relevant sprint rituals. You will be the primary QA contact at the squad level.
- Conduct regular sync ups with Development Lead, and Product Owners.
- Maintain all test suites/relevant documentation for the Products.
- Regularly provide metrics on quality for sprints and overall Product, and drive collaborated actions towards further quality improvements.
- Provide reporting on defects/bugs found during sprint and measurements against metrics such as velocity/stories to the team and manager, and facilitate/drive sprint retro discussions on analyzing and improving sprint delivery quality.
- Undertake any other reasonable task that may be asked of you by your supervisor or senior management.
- Participate and drive the addressing and resolving of SUPIN issues and RCA exercises.
Requirements:
- 5+ years of experience in developing complex data quality audits using SQL, analyzing abstract data, and summarizing and presenting findings.
- 3+ years in quality assurance role for software development.
- Strong knowledge of data exploration & analysis tools.
- Strong understanding of Agile development and CI/CD.
- Strong understanding of Quality Assurance testing methodology and processes.
- Strong understanding of automated testing practice in an Agile environment.
- Experience using bug tracking and test case management tools (JIRA, TestRail).
- Experience using various automation tools to help streamline testing (Preference: Python) .
- Proactive in analyzing and identifying areas to improve Product quality.
- Able to ensure best quality practices, effective approach, and latest tools for quality assurance.
- Comfortable working in a fast-paced environment.
- Experience working on an agile product team.
- Strong written and oral communicator.
- Committed to continuous growth through learning.
This job is no longer accepting applications
See open jobs at Q4.See open jobs similar to "Data QA Specialist" Work In Tech.