Knowledge Informatics QA Engineer

Role Overview

• Develop and implement comprehensive QA strategies for knowledge informatics systems, including data management platforms, reporting tools, and analytics solutions.
• Create and execute detailed test plans, test cases, and automated tests for new and existing applications and systems related to knowledge informatics.
• Perform data validation testing to ensure data accuracy, consistency, and integrity across multiple sources and platforms.
• Work closely with data engineers, developers, business analysts, and product owners to identify requirements, ensure alignment on testing objectives, and troubleshoot issues.
• Develop and implement automated testing scripts to ensure consistent testing and improve the efficiency of the QA process.
• Conduct integration testing to ensure that various systems, applications, and data flows work seamlessly together, meeting functional requirements and data accuracy standards.
• Ensure that all systems and data management practices are following industry regulations, such as HIPAA, GDPR, or other relevant standards.
• Identify, track, and manage defects through the lifecycle, including initial identification, reproduction, resolution, and retesting. Communicate issues to relevant stakeholders and assist in troubleshooting.
• Maintain detailed documentation of test plans, test cases, test results, and defect logs. Provide regular status updates to the project team and stakeholders.
• Stay up to date with industry’s best practices, tools, and technologies related to QA and knowledge informatics. Identify opportunities for improving the QA process and increasing test efficiency.

Requirements

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
• 3+ years of experience in Quality Assurance engineering, with a focus on data-driven applications and informatics systems.
• Hands-on experience with QA tools and frameworks for testing applications, especially in knowledge management or informatics domain.
• Experience with data validation, data integration testing, and ensuring data quality.
• Familiarity with regulatory requirements and compliance standards related to data management (e.g., HIPAA, GDPR).
• Strong knowledge of manual and automated testing techniques and tools (e.g., Selenium, JUnit, TestNG).
• Proficient in scripting languages such as Python, Java, or SQL for test automation and data manipulation.
• Experience with version control systems such as Git.
• Strong analytical and problem-solving skills, with attention to detail in identifying and addressing issues.
• Familiarity with CI/CD pipeline tools and processes.
• Excellent communication skills and the ability to collaborate with cross-functional teams to drive quality standards.

Tech Stack

• Java
• JUnit
• Python
• Selenium
• SQL

Benefits

• Equal Opportunity Employer