Intermediate QA Analyst ensuring data accuracy and quality within Big Data environments. Creating test plans and executing tests while collaborating with data teams.
Responsibilities
Create test plans, schedules and strategies
Develop test scripts and test data requirements
Understand system architecture, test automation and performance testing
Document test results, objectives, data sets and status reports
Provide technical guidance and assistance to test teams
Clearly communicate business requirements and defects to stakeholders
Conduct walkthrough of test artifacts to various stakeholders
Create and execute automated acceptance tests
Requirements
3-5 years of experience in software quality assurance
Strong knowledge of SQL
Hands-on experience with testing data pipelines
Ability to design and execute test plans
Familiarity with data warehouses
Experience with test automation (e.g., Python, PySpark)
Understanding of data governance and data quality
Strong analytical skills
Excellent communication skills
Experience with Agile/Scrum methodology
Understanding of object oriented programming (Java, Scala, Python)
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