Data Quality Analyst

• Create, execute, and maintain tests/cycles/plans across DB/API/Authorization for integrations, end-to-end, regression, functional, smoke, and other test types.
• Develop and maintain automation tools, data, infrastructure, and frameworks to support testing efforts.
• Collaborate closely with product stakeholders and developers to ensure comprehensive test case coverage for all requirements.
• Define and drive quality assurance best practices within the QA team.
• Leverage experience working with automotive data sets (preferred).
• Apply SDET skill sets, including reviewing and contributing to integration tests.
• Utilize expertise in creating and querying data using relational and NoSQL databases.

**What you bring: **

• Experience with integrating automated tests and reporting in a CI/CD pipeline.
• Proficiency with AWS services such as Code Deploy, S3, Elastic Search, Athena, Lambdas, CloudWatch, EC2, boto, and AWS CLI.
• Extensive experience creating and maintaining automated tests using Python 3.x and Pytest, employing appropriate test framework design patterns (decorators, markers, fixtures, data classes/structures, reporting, code coverage analysis).
• Experience testing backend systems via RESTful APIs.
• Develop and maintain automated and manual tests using Selenium, Python 3, and Zephyr.
• Promote a culture of continuous testing within the team.
• Experience testing data platforms using Selenium/POM frameworks, preferably with applications using Pyramid, React, Redux.
• Strong collaboration skills, working closely with cross-functional teams, product stakeholders, and developers.
• Familiarity with specific databases such as MySQL, PostgreSQL, MongoDB, etc., for creating and querying data.
• Awareness of industry compliance standards or regulations related to data analytics.
• Demonstrate desirable soft skills, including effective communication, problem-solving, and adaptability