GCP数据工程师

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. The role requires deep hands-on expertise in data ingestion, transformation, modeling, enrichment, and governance, combined with a strong understanding of clinical healthcare data standards, interoperability, and cloud architecture best practices.

• 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.