QA Automation Engineer - Data QA

Job Description:

 JOB DESCRIPTION:-

• Bachelors in Computer Science or Data Science or Information Systems or Mathematics or Statistics or equivalent years of relevant work experience.
• 5+ years of experience with agile software development testing, reviewing user stories, acceptance criteria, and other available information to develop test plans and test scenarios, both manual and automated
• 2+ years of experience in database testing for relational databases (preferred Snowflake and MS SQL Server), ETL/ELT data solutions, and reporting and analytics tools.
• Knowledge of dimensional modeling and data warehouse concepts, such as star schemas, snowflakes, dimensions, facts.
• Experience in writing complex SQL queries, ability to determine the types of testing that must be conducted (i.e., data validation, regression, etc.), including evaluating the testability of requirements and create a comprehensive test plan that supports the business and technological solutions being delivered.
• 3+ years of experience creating automated scripts using pytest for data validation.
• Expertise building test architecture and framework from ground up.
• 1+ years of experience with API testing; manual (using tools like Postman/swagger) & automated (REST Assured/CURL).
• Demonstrated ability to work within a collaborative source-code repository system, i.e. Git, GitHub, etc.
• Experience working with Cloud services and CI/CD tools like Jenkins.
• Ability to multi-task and adapt quickly to changes while maintaining urgency in completing assigned tasks.
• Excellent communication (both verbal and written).
• Ability to think creatively, problem-solve, innovate, and work independently with minimal supervision. Nice to Have Skills:
• Knowledge of Advertising/Financial/Digital Marketing Domain.
• Prior experience testing both Front-End (UI/UX) and Back-End (API, Grey-box, Data integrity) for web applications.

Key Responsibilities:

• Participate in Agile ceremonies, help analyze requirements, develop testing strategies, and write manual and automated test scripts for new and existing functionality.
• Monitor all development cycles, prepare test data, design and execute test plans, and evaluate test results
• Mentor fellow Test Engineers on the team on automation concepts and contribute towards maintaining full test coverage
• Collaborate with product owners, project managers, data analysts, data scientists, and developers to refine user stories and acceptance criteria, and provide feedback on missing business flows and strategies
• Develop and maintain clear, concise, and comprehensive test automation regression scripts using Python/Pytest.
• Identify areas for cross functional testing to improve overall quality and, with peers or others, implement initiatives improving testing capability and efficiency
• Have the ability to multi-task and adapt quickly to changes while maintaining urgency in completing assigned tasks
• Be flexible and back-up team members, as needed or as the workload fluctuates.