QA Engineer

Morton is seeking a QA Engineer (Data) for an onsite role with our client in Richmond, VA. You will be responsible for ensuring the quality and reliability of Data products (Databases, Reports, Data Pipelines, ETL, Machine Learning models etc.) through effective testing and automation. You will collaborate closely with the Data team to design, develop, execute, and maintain test scripts, frameworks, and tools. Your expertise in automated testing, software quality assurance, and insurance industry knowledge will be crucial in identifying defects, ensuring compliance, and delivering high-quality Data products to support the business operations.

Responsibilities:

Test Automation:

Design, develop, and maintain automated test scripts, frameworks, and tools using industry-standard testing tools and methodologies.

Collaborate with internal and external development teams to identify areas suitable for automation and integrate automated tests into the continuous integration and delivery pipelines.

Execute automated tests and analyze results to identify and report defects and inconsistencies, ensuring proper tracking and documentation of issues.

Test Planning and Strategy:

Collaborate with business analysts, data engineers, data analysts, software developers, and other stakeholders to understand project requirements and design comprehensive test plans and strategies.

Develop and maintain test cases, test scenarios, and test data to ensure maximum test coverage and effectiveness.

Contribute to the creation and maintenance of a test repository for reusability and efficiency.

Defect Management:

Identify, track, and report defects using issue tracking systems, ensuring clear and accurate documentation of issues and their resolutions.

Collaborate with Agile development teams to investigate and troubleshoot issues, providing detailed information and assisting in root cause analysis.

Validate defect fixes and perform regression testing to ensure no new issues arise.

Test Environment Management:

Assist in setup and maintenance of test environments, including test data preparation and configuration management, to support test execution and ensure accurate results.

Collaborate with system administrators and other stakeholders to ensure the availability and stability of test environments.

Quality Assurance:

Contribute to the continuous improvement of software quality assurance practices, processes, and tools.

Participate in code reviews, requirements reviews, and design discussions to provide valuable input from a quality perspective.

Stay updated with industry trends and advancements in test automation tools and techniques, and recommend improvements to enhance testing efficiency and effectiveness.

Collaboration and Communication:

Collaborate with business analysts, data engineers, data analysts, software developers, and other stakeholders, to ensure a seamless integration of testing activities throughout the software development lifecycle.

Communicate testing progress, status, and any potential risks to stakeholders, including management and project teams. Qualifications:

Bachelor's degree in Computer Science, Software Engineering, or a related field preferred.

Proven experience (3-5 years) as a QA Engineer, testing various Data Products on AWS cloud environment.

Strong Data analytical skills using SQL, Excel and other tools.

Strong understanding of Data QA methodologies, Data validation techniques, API and ETL testing best practices.

Proficiency in scripting languages (Python, Java, Typescript etc.) for test automation.

Proficiency in test automation frameworks and tools (Selenium, Cucumber, JUnit).

Experience with various AWS Services like S3, Lambda, Glue and others.

Familiarity with continuous integration and delivery (CI/CD) concepts and tools.

Strong analytical and problem-solving skills, with attention to detail and the ability to prioritize and multitask in a fast-paced environment.

Excellent communication and collaboration skills, with the ability to work effectively in a team and interact with stakeholders at various levels.