Big Data Tester
2 weeks ago
Duration: 8-12+ months contract
Must have a valid LinkedIn profile
Big Data Tester
Responsibilities
- The QA Engineer will be responsible for designing and developing test cases, performance tests, automated integration tests for the big data and ETL
- Design and develop test cases for regression, performance and load tests
- Execute and manage test plans and test cases for exploratory tests, acceptance tests, functional, regression, smoke, usability, performance and load
- Performance tuning of end-to-end ETL integration processes
- Maintain, expand and verify the existing automated test cases
- Verify defects fixed by Development team
- Track and report testing results and metrics using related tools
- Work closely with engineers to integrate testing in development and build process
- Develop, maintain, and execute test plans for story validation and integration testing.
- Set up, perform and report on Performance/Load Testing
- Ability to respond to support-reported bugs to obtain relevant information in order to reproduce the reported issues.
Education and Experience
- Bachelor's degree in Computer Science, Information Systems or related field; Masters' degree preferred.
- Minimum of Ten (10) years' experience in the fields of Database & Data warehousing testing
- Strong SQL testing; understanding of SQL and No SQL statements.
- Strong analytical and problem-solving skills
- Perform reverse engineering of data differences from databases and SQL scripts
- Techniques for testing ETL data pipelines either manual or using tools.
- Advanced SQL skills
- 7+ years of ETL testing experience. SSIS and SQL server testing experience is preferred
- 3+ years of Bigdata (Hadoop, Hive, Pyspark, Python) testing experience.
- 2+ years of AWS big data testing experience.
- Proficient in Agile based delivery approach
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