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About
( GCP Data Engineer (Health Care Background Must)) Location: Remote
Key Responsibilities Must Have skills Must have Healthcare domain for DE 10+ years in data architecture, engineering, or data platform roles. Strong expertise in GCP data stack (BigQuery, Dataflow, Composer, GCS, Pub/Sub, Dataproc, Dataplex). Hands-on experience with data ingestion, pipeline orchestration, and transformations. Deep understanding of clinical data standards: HL7 v2.x, FHIR, CCD/C-CDA, DICOM (for scans and imaging), LIS/RIS/PACS data structures Experience with device and IoT data ingestion (wearables, remote patient monitoring, clinical devices). Experience with ERP datasets (Workday, Oracle, Lawson, PeopleSoft). Strong SQL and data modeling skills (3NF, star/snowflake, canonical and logical models). Experience with metadata management, lineage, and governance frameworks. Solid understanding of HIPAA, PHI/PII handling, DLP, IAM, VPC security. Strong experience architecting enterprise data platforms on Google Cloud (GCP). The architect will work as a strategic technical partner to design and build a GCP BigQuery-based
Data Lake & Data Warehouse ecosystem. Dataproc, Dataflow, Big query, GCP Realtime experience, Data governance, SLA's/SLO with stakeholders, lead experience
Languages
- English
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