Must have a valid LinkedIn profile
Must have mortgage/financial domain exp.
10+ years of experience required
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