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Job Description & How to Apply Below
Job Title:
Data Engineer – Healthcare Interoperability
Key
Skills:
Strong experience with Python and SQL
Hands-on with GCP services – Cloud Composer (Airflow/DAGs), Dataflow, Pub/Sub, Cloud Storage, Cloud SQL/Big Query
Good knowledge of healthcare data standards – CCDA and FHIR (HL7 is nice to have)
Experience with data conversion – HL7 → FHIR or CCDA → FHIR
Ability to design and build ETL/ELT pipelines and automate workflows in GCP
Experience in performance tuning, debugging, and monitoring of data pipelines in production environments.
Familiarity with FHIR data stores/APIs and RESTful operations.
Familiarity with Git, CI/CD processes, and Agile delivery.
Preferred / Nice-to-Have:
Exposure to Inter Systems IRIS for Health or similar integration tools
Familiarity with healthcare terminologies (LOINC, SNOMED, ICD, RxNorm)
Soft Skills:
Strong analytical and problem-solving skills
Can work independently and take ownership of deliverables
Excellent communication and collaboration in an agile setup
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