Quality Engineer with BDD expertise needed for quality assurance in data ingestion and pipeline solutions. Collaborate with cross - functional teams to automate BDD testing.
About the role
- QA Lead mentoring QA engineers while ensuring quality in data processing and analysis pipelines. Leading design, development, and execution of test strategies for quality assurance.
Responsibilities
- Lead and mentor a team of QA engineers, providing guidance and support.
- Develop and execute comprehensive test plans and test cases for data processing and analysis pipelines.
- Design and implement test automation frameworks using Selenium and other relevant tools.
- Perform ETL testing to ensure data accuracy and integrity.
- Utilize test management tools such as qTest and pytest to manage test execution and track defects.
- Collaborate with developers and data engineers to identify and resolve defects.
- Monitor and analyze test results, identifying trends and areas for improvement.
- Contribute to the development and maintenance of QA standards and best practices.
- Participate in code reviews and provide feedback on code quality.
- Ensure compliance with data quality standards and regulatory requirements.
Requirements
- 12+ years of experience in quality assurance, with a focus on data quality testing.
- Proven experience as a Data Quality Testing Engineer with a focus on AWS technologies.
- Experience with AWS Lambda, AWS Glue, and Snowflake for data processing and analysis.
- Strong proficiency in Python, PySpark, SQL, and related data testing technologies.
- Familiarity with Selenium for test automation.
- Solid understanding of test automation frameworks.
- Knowledge of test management tools such as qTest and pytest.
- Excellent problem-solving skills and attention to detail.
- Strong communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Bachelor's degree in Computer Science or a related field.
Job title
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