Data test engineer

About company

1. Automated Testing Framework Development:

• Design develop and maintain automated testing frameworks and tools to streamline the testing process.
• Implement testing best practices and ensure that testing procedures are standardized and efficient.

1. Data Preparation and Management:

• Collect extract transform and load (ETL) testing data from various sources including databases APIs and external systems.
• Create and maintain test data sets that encompass a wide range of scenarios and use cases to ensure comprehensive test coverage.

1. Test Scripting and Automation:

• Write and maintain test scripts using relevant automation tools and programming languages.
• Automate the execution of test cases to perform continuous and regression testing.

1. Performance Testing (nice to have):

• Design and execute performance tests to evaluate system scalability stability and responsiveness.
• Monitor and analyze system performance metrics and provide insights for optimization.

1. Collaboration:

• Collaborate with development teams to understand product requirements and participate in code reviews to identify testable areas.
• Communicate with crossfunctional teams to report defects and track their resolution.

1. Reporting and Documentation:

• Create and maintain comprehensive test documentation including test plans test cases and test reports.
• Generate and communicate test results highlighting issues and areas for improvement.

1. Test Automation Framework Improvement:

• Continuously improve and update the testing frameworks and tools to adapt to changing technology trends and maintain efficiency.

• Bachelors degree in computer science software engineering or a related filed
• Proven experience in testing test automation and data engineering.
• Proficiency in languages and technologies like SQL Python .Net and Databricks for test script development

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