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Senior Data Quality Engineer
Company | Tatari |
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Location | San Francisco, CA, USA |
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Salary | $140000 – $170000 |
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Type | Full-Time |
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Degrees | Bachelor’s, Master’s |
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Experience Level | Senior |
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Requirements
- 5+ years in SDET or Test Automation QA Engineer using object-oriented design and coding skills at a start-up environment.
- Experience implementing test automation frameworks for UI, API, micro services, and data pipelines using any test automation tools, such as Playwright, REST-Assured, and Great Expectations.
- BS/MS in Computer Science, Engineering, or related technical discipline.
- Strong proficiency in Python is essential, as well as solid understanding of SQL and relational databases, including cloud-hosted databases such as AWS.
- Detail oriented with a passion for testing, a high degree of self motivation, an unwavering commitment to excellence, and an excellent work ethic.
- Good verbal and written communication skills.
Responsibilities
- Own the quality of software releases
- Design and development a test automation framework for both back end systems, data pipelines, and front end components using modern tools and technologies
- Partnering with engineers, data scientists, and product managers to debug complex issues
- Create and maintain a full suite of data driven automation tests for regression, functional, performance, load, and stress testing
- Collaborate with the engineering team, and/or relevant stakeholders, to improve the functional code coverage of our automation suite in every product release
- Create and maintain comprehensive test plans and test specifications to reduce launch regressions
- Execute manual and automated tests against the test plan, record defects, verify fixes, and propose enhancements to engineering teams as necessary
- Partner with SRE to construct the necessary test environment and QA Lab including installation and management of web server, application server, database, and operating system
Preferred Qualifications
- Prefer candidates with experience testing very high volume web applications with a large component of back end analytics and data processing.