Surveillance and Interoperability Data Engineering

📋 Description Design interoperability middleware specs per SMART Guidelines. Map DHIS2, SORMAS, OpenELIS in data dictionary mappings. Build Canonical Data Model and ingestion for cloud/on‑prem. Develop production ETL/ELT pipelines for surveillance data. Create reporting workflows, dashboards, and analytics APIs. Align with ICD-11, LOINC, SNOMED CT and data interoperability. 🎯 Requirements Bachelor's degree in CS/Data Eng/Software Eng or related field. 8+ years in software architecture and data engineering. 4+ years in public health information systems. Fluent English (spoken and written). Experience with cloud and on‑prem data platforms. Experience designing interoperability middleware/connectors (DHIS2, SORMAS, OpenMRS).