QA Analyst – FHIR/HL7 | 6+ Years | FTE-Hyderabad

Position: QA Analyst – FHIR/HL7 Client: One of our Prestigious client Location: Hyderabad Mode of Hiring: Fulltime / Permanent Experience: 6+ Years Budget: 24-26 LPA Notice Period: 0-30 Days Share your CV :

Job Summary: We are seeking a detail-oriented QA Analyst with strong experience in testing healthcare data standards and databases. The role involves validating

FHIR/HL7 JSON-based APIs

and performing

SQL testing on CDR

to ensure accuracy, compliance, and performance of healthcare applications. The ideal candidate will work closely with developers, business analysts, and product owners to deliver high-quality, standards-compliant solutions. Key Responsibilities: Perform

functional, integration, and regression testing

for FHIR/HL7 JSON in CDR GCP. Validate data mapping, transformation, and compliance with healthcare interoperability standards. Write and execute

simple to

complex SQL queries

to test and validate data in GCP databases. Design, maintain, and execute

test cases, test scripts, and test data

for healthcare systems. Collaborate with cross-functional teams to identify, document, and track defects to closure. Ensure compliance with HIPAA, healthcare data standards, and organizational quality processes. Participate in test planning, requirement reviews, and sprint ceremonies in an

Agile environment . Contribute to automation of API and database testing where applicable. Required Skills & Qualifications: 4–6 years of experience as a QA Analyst/Tester in healthcare or related domains. Strong knowledge of

FHIR and HL7 standards

with hands-on experience testing JSON payloads. Proficiency in

SQL

with practical experience in healthcare databases. Knowledge on API testing tools such as

Postman, SoapUI Familiarity with

test management tools

(Rally). Strong analytical skills, attention to detail, and ability to troubleshoot complex data issues. Knowledge of

Agile/Scrum methodologies . Nice-to-Have Skills: Familiarity with

GCP or other cloud platforms

in healthcare ecosystems. Exposure to

ETL/data validation/pipeline

testing