QA Lead

Qode•New York, NY

2d•Hybrid

About The Position

We are seeking a highly experienced and motivated QA Lead to join our dynamic team. As a QA Lead, you will be responsible for leading and mentoring a team of quality assurance engineers, ensuring the quality and reliability of our data processing and analysis pipelines. You will play a critical role in designing, developing, and executing test strategies, as well as identifying and resolving defects. The ideal candidate will have a strong background in data quality testing, particularly with AWS technologies, and a proven track record of leading successful QA teams. This is a full-time position based in either New York City or Fort Mill, SC, with a hybrid work model requiring 2-3 days in the office.

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.

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.