GCP Data Engineer

Position :- GCP Data Engineer (Health Care Background Must)

Location: Remote

Only Full Time (USC & GC)

Summary:
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.

Key Responsibilities:

1. Data Lake & Data Platform Architecture (GCP)

• Architect and design an enterprise-grade GCP-based data lakehouse leveraging BigQuery, GCS, Dataproc, Dataflow, Pub/Sub, Cloud Composer, and BigQuery Omni.
• Define data ingestion, hydration, curation, processing and enrichment strategies for large-scale structured, semi-structured, and unstructured datasets.
• Create data domain models, canonical models, and consumption-ready datasets for analytics, AI/ML, and operational data products.
• Design federated data layers and self-service data products for downstream consumers.

2. Data Ingestion & Pipelines

• Architect batch, near-real-time, and streaming ingestion pipelines using GCP Cloud Dataflow, Pub/Sub, and Dataproc.
• Set up data ingestion for clinical (EHR/EMR, LIS, RIS/PACS) datasets including HL7, FHIR, CCD, DICOM formats.
• Build ingestion pipelines for non-clinical systems (ERP, HR, payroll, supply chain, finance).
• Architect ingestion from medical devices, IoT, remote patient monitoring, and wearables leveraging IoMT patterns.
• Manage on-prem → cloud migration pipelines, hybrid cloud data movement, VPN/Interconnect connectivity, and data