Healthcare CCDA and FHIR SME

Job Title: Healthcare CCDA and FHIR SME

Location: Chennai & Pune (Hybrid)

Job Type: Full-Time

Shift Timings: 2 - 11 PM

Role Overview:

We are seeking a Healthcare CCDA and FHIR Subject Matter Expert (SME) with hands-on experience in loading, transforming, and validating CCDA and FHIR data within clinical data repositories. The ideal candidate will possess a strong understanding of healthcare interoperability standards, data integration patterns, and data quality frameworks, playing a key role in enabling seamless exchange and ingestion of clinical data across systems.

Key Responsibilities:

• CCDA and FHIR Data Expertise:
• Lead the ingestion, parsing, and transformation of CCDA and FHIR resources into enterprise data platforms or Clinical Data Repositories (CDR).
• Map and validate CCDA elements (e.g., encounters, allergies, medications, immunizations) to FHIR resources.
• Data Integration and Loading:
• Design and implement data pipelines to load structured and semi-structured healthcare data (CCDA, FHIR, HL7) into target systems.
• Collaborate with Data Engineering teams to ensure efficient and scalable ingestion processes.
• Data Quality and Validation:
• Establish validation rules and perform conformance testing for FHIR and CCDA payloads.
• Ensure compliance with interoperability standards and clinical data governance frameworks.
• Collaboration and SME Support:
• Partner with product, engineering, and clinical informatics teams to define data models and mapping strategies.
• Support troubleshooting and root-cause analysis for ingestion and data transformation issues.
• Stay updated with HL7, US Core FHIR, and ONC interoperability regulations.

Required Skills & Qualifications:

• 8+ years of experience in healthcare data integration, interoperability, or clinical data management.
• Strong hands-on experience with CCDA parsing, validation, and ingestion processes.
• Deep knowledge of FHIR resource structures, US Core profiles, and RESTful API interactions.
• Experience working with FHIR servers (e.g., HAPI FHIR, InterSystems IRIS, or equivalent).
• Proficiency in SQL, Python, or data transformation tools (e.g., Informatica, Talend, Dataflow, or Spark).
• Familiarity with cloud platforms (GCP, AWS, or Azure) and healthcare data pipelines.
• Strong understanding of HIPAA, PHI, and healthcare interoperability standards (HL7, CCD, C-CDA, FHIR).
• Excellent analytical, documentation, and communication skills.