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Benchmark Analytics · 2 days ago
Quality Assurance Engineer
United States
Full-time
Remote
Senior Level
5+ years exp
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Responsibilities
Provide testing support for ETL pipelines and data migration projects
Provide testing support for data-out capabilities, including reporting/analytics and data exports
Collaborate with QA and data engineers to review data models and mappings to build and execute effective test plans
Define, develop, maintain, and execute automated tests to validate ETL pipelines
Root cause analysis of data migration errors and management of related defects
Hands-on execution of functional exploratory testing and use case validation
Update regression scenarios as appropriate for future releases
Support continuous improvements within the SDLC, focusing on systemic improvements and root cause analysis
Qualification
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Required
Bachelor’s degree, or equivalent experience
5+ years of experience in a technical QA engineering role
3+ years test automation experience in Java
Experience with data validation, and comfortable with SQL
Hands-on experience with test management tools (JIRA/Confluence, TestRail)
Experience with an agile / Kanban development process
Strong analytical skills that can be applied to root cause analysis of data discrepancies found in testing
Excellent written and oral communication skills
Ability to successfully collaborate with QA, development, and product teams
High level of curiosity and the desire to dig deep into customer use cases
Preferred
Experience with ETL platforms (CloverDX or similar)
Experience with SaaS or an Analytics platform
2+ years working with a scripting language, preferably Python
Benefits
Unlimited paid time off (PTO)
Company
Benchmark Analytics
Benchmark Analytics provides police force management software driven by real-world experience and world class research.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Ron Huberman
CEO, Co-Founder
Nick Montgomery
Chief Research Officer
Company data provided by crunchbase
