Data Quality Assurance Engineer – Healthcare Domain

Job Description:

We are seeking a meticulous and experienced Data Quality Assurance Engineer to join our team in the healthcare domain. The ideal candidate will have a strong background in data testing and quality assurance of software and systems, with a keen eye for detail and a passion for ensuring data integrity. This role involves working closely with cross-functional teams to validate data transformations, integrations, and ensure compliance with healthcare regulations. If you are committed to delivering high-quality healthcare data solutions, we invite you to apply.

Key Responsibilities:

• Data Testing and Validation:

  • Develop, document, and execute comprehensive test plans and test cases for data-centric applications.
  • Perform data validation and verification to ensure accuracy, completeness, and consistency of data across various systems.
  • Test data transformations, mappings, and integrations between multiple sources and targets.

• Quality Assurance Process:

  • Implement and maintain QA processes and standards for data quality assurance activities.
  • Identify, document, and track data quality issues and defects using defect tracking tools.
  • Collaborate with development teams to troubleshoot and resolve data quality issues promptly.

• Automation and Tools:

  • Develop and maintain automated test scripts using appropriate testing frameworks and tools.
  • Utilize SQL queries and scripting languages to validate data sets and reports.
  • Recommend and implement tools and technologies to enhance data testing efficiency.

• Compliance and Standards:

  • Ensure all data testing activities comply with healthcare regulations and data privacy laws (e.g., HIPAA, HITECH).
  • Stay updated with industry best practices, data standards (e.g., HL7, FHIR), and emerging technologies in healthcare data.

• Documentation and Reporting:

  • Prepare detailed test reports, data quality dashboards, and analysis for stakeholders.
  • Document QA processes, test results, and provide recommendations for improvements.
  • Communicate findings and insights effectively to technical and non-technical audiences.

• Collaboration:

  • Work closely with data engineers, business analysts, and other stakeholders to understand data requirements.
  • Participate in design and code reviews to provide a QA perspective.
  • Contribute to the continuous improvement of data quality processes and methodologies.

Qualifications:

• Education:

  • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
  • Relevant certifications in QA or data management are a plus.

• Experience:

  • Minimum of 5 years of experience in data testing and quality assurance roles.
  • Proven experience in the healthcare domain, working with healthcare data and systems.
  • Strong knowledge of QA methodologies, tools, and processes.

• Technical Skills:

  • Proficient in writing complex SQL queries for data validation and testing.
  • Experience with ETL testing and data warehousing concepts.
  • Familiarity with data integration tools such as Informatica, Talend, or equivalent.
  • Experience with automated testing tools (e.g., Selenium, JUnit, TestNG).
  • Understanding of data modeling, data flows, and data mapping techniques.
  • Knowledge of healthcare data standards and protocols (e.g., HL7, FHIR).

• Compliance Knowledge:

  • In-depth understanding of healthcare regulations and data privacy laws (e.g., HIPAA, HITECH).
  • Experience ensuring compliance in data handling and testing processes.

• Soft Skills:

  • Excellent analytical and problem-solving skills with strong attention to detail.
  • Strong communication skills, both verbal and written.
  • Ability to work collaboratively in a team environment.
  • Self-motivated with the ability to manage multiple tasks and deadlines.