What are the responsibilities and job description for the IT Analyst - Quality Assurance position at Dukehealth.org?
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About Duke Health Technology Solutions
Pursue your passion for caring and innovation with Duke Heath Technology Solutions, which is dedicated to the transformation, development, and management of enterprise information technology solutions across Duke Health. By harnessing the power of innovative technologies like cloud computing and artificial intelligence - and pairing them with a forward-thinking approach - Duke Health Technology Solutions is revolutionizing the future of health care at Duke Health and beyond.
POSITION DESCRIPTION
Job Title : 3844- DHTS IT Analyst - Quality Assurance Analyst
Primary Role : This position reports to the DHTS-Data Partnerships Director of Data and Analytics Platforms. This individual will be primarily responsible for the quality of the data ingested into the data lake (Duke Data Hub) and the data deidentification processes in the Federated Clinical Analytics Platform (FCAP), including providing quality assurance oversight of the data pipelines and REST APIs developed by the Data Partnerships Data Engineering team and Duke's FCAP partner. The candidate should be an expert in data profiling, root cause analysis, and strategies to ensure the quality of data being delivered through big data and analytics platforms. The QA analyst will be a member of a Data Engineering Scrum team that is delivering solutions focused on using state of the art data and analytics tools including traditional and near real-time data warehousing, big-data, relational and document-based databases using both extract, load, transform (ELT) toolsets as well as REST APIs and FHIR. The ideal candidate will be comfortable with data science platforms with proven experience leveraging DevOps and Test Automation tools.
Essential Tasks / Responsibilities
- Measure data quality - Design, collect, analyze, and report on data quality assurance / production performance metrics
- Manage data quality documentation; define and maintain data standards, definitions, and models
- Identify incorrect data, documenting issues, patterns and gaps in the data and / or systems
- Provide accurate and appropriate interpretation of data, applying knowledge for evaluation, analysis, and interpretation of data
- Ensure data integrity by implementing quality assurance practices
- Perform root cause analysis on data issues and recommend data quality controls to resolve gaps / issues
- Provide quality assurance oversight of data flows and APIs
- Contribute to agile story refinement and estimation.
- Contribute as a member of the Data Engineering Scrum Team by developing and executing test cases during sprints to verify that the APIs and data pipelines developed meet defined acceptance criteria
- Collaborate with the Scrum Team and DevOps to automate test cases to be incorporated in the CI / CD pipelines
- Participate in the creation and maintenance of standards for coding, documentation, error handling, error notification, logging, etc.
Education : Bachelor's degree in a related field, or four years of equivalent technical experience required
Required Experience : We are looking for a candidate with 5 years of experience in a QA Analyst role who has experience using and testing the following software / tools :
Required Skills :
Desired Skills :
The information above describes the general nature and level of work assigned to this position. It is not intended to be an exhaustive list of all duties and responsibilities required of position incumbents.
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