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Position Details: QA Analyst - 00549

Location: Portland, Oregon
Openings: 1
Job Number:

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Description:

The Team would like to see candidates with use of these tools:

QC Tools:
HPQC
VSTS
Tricentis Tosca
Akami Cloudtest

Stacks:
MSFT/Azure
SQL
SSIS/Data Factory
Python/Scala

Bonus:
SAP/HANA



Essential Functions/Responsibilities:
• Develops comprehensive test plans from requirements/specifications for complex items with input from developers and business process experts
• Works with Project Managers to incorporate testing into project schedules
• Prepares and executes effective test cases/scenarios using analytical methods
• Develop the testing strategy and manage the testing effort. Evaluate data changes and anomalies against previous tends; and provide guidance to resolve variances.
• Establish validation benchmarks and automated processes for data quality improvements for the weekly/monthly validations and data quality checks to ensure data is accurate for analytics. Develop trending reports and data quality metrics for reporting.
• Perform heavy data validation and ETL processes testing
• Configure client specific requirements
• Documents defects and escalates to the appropriate team for issue resolution
• Interfaces with clients to ensure thorough end to end testing
• Maintain the test matrix for test coverage both through manual tests and automated tests.
• Manage the QA release cycle by developing and maintaining automated tests
• Coordinate nightly builds and bi-weekly regression and performance tests. You should be familiar with using Visual Studio application and common testing applications to perform exploratory tests with the ability to collect diagnostics and performance information.
• Capture test requirements prior to software development.
• Participate in daily scrum and bi-weekly sprint planning meetings
Qualifications

• Bachelor’s Degree required Computer Science, Information Systems or a related field. An equivalent combination of education and experience may be considered.
• 5+ years of hands-on experience supporting QA for large-scale Business Intelligence projects
• 3+ years of professional experience in QA Automation Engineering Sound judgment and decision-making, and the appropriate sense of urgency and is a self-starter.
• Experience with Microsoft Azure: Data factory, data lake and data warehouse a bonus

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