Engineer, Quality Assurance - (employer: Sirius XM Radio Inc.; job location: Farmington Hills, MI) - Review project deliverables (business requirements, functional requirements, technical designs) as they relate to a given test stage. Manage offshore team (provide guidance, task assignment and communicate project updates to offshore). Review offshore deliverables and communicate to delivery team. Review and provide input to test deliverables. Define test plan/strategy and identify risks related to testing efforts. Create test cases based on requirement and technical design specifications for data validation. Test 360L in-vehicle *** app and validate the backend data. Understand ETL logic & write complex SQL queries for data and report validation. Understand machine algorithms and test them with huge data. Understand Cognos Report logic and develop SQL queries for report data quality validation. Identify and analyze data discrepancies and data quality issues and work to ensure data consistency and integrity. Ensure issues are identified, tracked, reported on and resolved in a timely manner. Work across various groups and effectively drive testing of cross-team solutions that have complex dependencies and requirements. Inform the Project Test Lead of issues that may affect the schedule, budget, or quality of the solution or the testing process. Requirements: Bachelor's degree in Computer Science, Engineering (Computer/Electrical), Information Technology, or closely related field, plus five years of progressive post-Bachelor's experience in the position offered or a software testing/development position. All of the required experience must have included performing quality assurance analysis in business intelligence (data warehouse & report) environments; working with databases such as Oracle, Teradata, SQL Server, and with ETL tools/processes and data warehousing architectures; experience with machine learning algorithms; performing test data management and data/quantitative tabulation and analysis; performing testing in data warehouse, data mart, stored procedure, ETL jobs, Report, and Cube; using knowledge of data structures, algorithms, enterprise systems, and asynchronous architectures; working with raw, unstructured data; working with AWS eco systems (S3, Redshift, Aurora); investigating discrepancies in data by writing queries and performing comparative analysis; developing and using test plans, test cases, test scripts, and test results; using technical documents such as business requirements, functional requirements, database design representations, and data and systems flow diagrams. This role entails hybrid work, with time split *** ween working in our Farmington Hills, MI office and flexibility to telecommute from another U.S. location. Apply online at www. *** .com/careers . Ref: P-2023-37.
P-2023-37
P-2023-37
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