We are looking for a highly skilled Data Engineer with Real World Data (RWD) experience to build and manage end-to-end data pipelines for multimodal healthcare datasets. The ideal candidate will work at the intersection of data engineering, analytics, and healthcare research, transforming complex healthcare data into analysis-ready assets that support advanced analytics, AI/ML initiatives, and evidence-generation studies. This role requires expertise in large-scale healthcare data processing, data harmonization, cloud platforms, and modern data engineering practices.
Responsibilities
Data Engineering & Pipeline Development
• Design, develop, and maintain scalable ETL/ELT pipelines for large healthcare and real world datasets.
• Build and manage data ingestion, transformation, harmonization, and analytics layers.
• Implement data quality frameworks, governance controls, lineage tracking, and monitoring.
• Manage data lifecycle processes across raw, curated, and analytics-ready environments.
• Work with structured and unstructured healthcare datasets from multiple sources.
Healthcare Data Harmonization
• Harmonize heterogeneous healthcare data sources and coding systems into standardized formats.
• Map and transform clinical terminologies including
o SNOMED CT
o ICD-10
o LOINC
o RxNorm
o CPT/HCPCS
• Support implementation of common data models such as OMOP and FHIR.
Analytics & Study Support
• Support data feasibility assessments and data quality evaluations.
• Collaborate with epidemiologists, biostatisticians, data scientists, and business stakeholders.
• Develop reusable data assets, cohorts, and model-ready datasets.
• Enable advanced analytics and AI/ML use cases through reliable data engineering practices.
Application & Platform Development
• Contribute to analyst-facing applications, dashboards, and self-service data products.
• Support development of data products using contemporary workflow automation and AI assisted engineering approaches.
📌 Senior Data Engineer (Chennai)
🏢 Zifo
📍 Chennai