Group Quality Assurance Manager ensuring quality assurance processes in construction projects across multiple locations. Train and support teams to achieve high standards in quality and compliance.
About the role
- Senior Analyst managing Enterprise Quality Assurance processes with data validation and project management skills. Writing SQL and Python queries for effective quality assurance workflows.
Responsibilities
- Conducting cross-environment validation between QA, UAT, and production, adhering to established Enterprise Quality Assurance Plan and providing feedback and suggestions on improvements
- Writing and executing complex SQL queries to perform data validation, reconciliation, and comparison of large datasets across environments
- Adhere to established EDW and ETL SDLC and Corrective Action guidelines and provide feedback and suggestions for improvements
- Provide assistance/on the job training for querying capabilities to EQA Resources as requested and training support teams on various business processes and developing efficient problem management procedures
- Function as Enterprise Quality Assurance Lead on selected projects, operational procedures and release tasks utilizing project management skills
- Lead the team in the approval of the Test Approach, Test Criteria, Tasks, schedule for Strategic Projects based on approved requirements
- Participating in Peer and Solution review of Business and Technical Specifications effecting designated areas of expertise and provide feedback to improve clarity of the specifications and usability of the functionality
- Using SQL, Python or ETL testing frameworks to support regression and data comparison testing
Requirements
- Bachelor’s (or foreign educ. equiv.) Degree in Information Systems, Computer Science, Information Technology, or a related field
- two (2) years’ experience in the job offered or related occupation
- Writing and executing complex SQL queries to perform data validation, reconciliation, and comparison of large datasets across environments
- Identify and track defects using ALM or Azure DevOps
- Using SQL, Python or ETL testing frameworks to support regression and data comparison testing
- Ensuring data transformations comply with HIPAA and PHI
- Conducting cross-environment validation between QA, UAT, and production
- Analyzing and identifying all issues in requirements and design
- Assisting to provide resolution and perform various tests on software to resolve all issues
- Training support teams on various business processes and developing efficient problem management procedures
- Writing complex SQL queries in Oracle SQL developer
Benefits
- full range of benefits
- generous paid time off
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