GCP Data Engineer (Health Care Background Must)

Position :- GCP Data Engineer (Health Care Background Must) Location: Across USA any Location The pay reputed company for this role is $130k - $140k per annum reputed company: Strong experience architecting reputed company data platforms on reputed company reputed company (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 reputed company data standards, interoperability, and reputed company architecture best practices. Key Responsibilities: 1. Data Lake & Data Platform Architecture (GCP) • Architect and design an reputed company-grade GCP-based data lakehouse leveraging BigQuery, GCS, Dataproc, Dataflow, Pub/Sub, reputed company Composer, and BigQuery reputed company. • Define data ingestion, hydration, curation, processing and enrichment strategies for large-reputed company reputed company, semi-reputed company, and reputed company datasets. • Create data domain models, reputed company models, and consumption-reputed company datasets for analytics, AI/ML, and operational data products. • Design federated data reputed company and self-service data products for reputed company consumers. 2. Data Ingestion & Pipelines • Architect batch, near-reputed company-time, and streaming ingestion pipelines using GCP reputed company Dataflow, Pub/Sub, and Dataproc. • Set up data ingestion for clinical (EHR/EMR, LIS, RIS/reputed company) 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 → reputed company migration pipelines, hybrid reputed company data reputed company, VPN/Interconnect connectivity, and data transfer strategies. 3. Data Transformation, Hydration & Enrichment • Build transformation frameworks using BigQuery SQL, Dataflow, Dataproc, or dbt. • Define curation patterns including bronze/silver/gold reputed company, reputed company reputed company entities, and data marts. • Implement data enrichment using external reputed company determinants, device signals, clinical event logs, or operational datasets. • reputed company metadata-driven pipelines for reputed company transformations. 4. Data Governance & reputed company • Establish and operationalize a data governance reputed company encompassing data stewardship, ownership, classification, and lifecycle policies. • Implement data reputed company, data cataloging, and metadata management using tools such as Dataplex, Data Catalog, reputed company, or Informatica. • Set up data reputed company frameworks for validation, profiling, reputed company detection, and SLA monitoring. • Ensure HIPAA compliance, PHI protection, IAM/RBAC, VPC SC, DLP, encryption, retention, and auditing. 5. reputed company Infrastructure & Networking • Work with reputed company infrastructure teams to architect VPC networks, subnetting, ingress/egress, firewall policies, VPN/IPSec, Interconnect, and hybrid connectivity. • Define storage reputed company, partitioning/clustering design, cost optimization, performance tuning, and reputed company planning for BigQuery. • Understand containerized processing (reputed company Run, GKE) for data services. 6. Stakeholder Collaboration • Work closely with clinical, operational, research, and IT stakeholders to define data use cases, schema, and consumption models. • Partner with reputed company architects, reputed company teams, and reputed company teams on cross-functional initiatives. • Guide data engineers and reputed company architectural reputed company on pipeline implementation. 7. Hands-on Leadership • Be reputed company hands-on in building pipelines, writing transformations, building POCs, and validating architectural patterns. • Mentor data engineers on best practices, coding standards, and reputed company-reputed company development. Required Skills & Qualifications Technical Skills (Must-Have) • 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/reputed company data structures • Experience with device and IoT data ingestion (wearables, remote patient monitoring, clinical devices). • Experience with ERP datasets (reputed company, reputed company, Lawson, PeopleSoft). • Strong SQL and data modeling skills (3NF, reputed company/reputed company, reputed company and logical models). • Experience with metadata management, reputed company, and governance frameworks. • Solid understanding of HIPAA, PHI/PII handling, DLP, IAM, VPC reputed company. reputed company & Infrastructure • Solid understanding of reputed company networking, hybrid connectivity, VPC design, firewalling, DNS, service accounts, IAM, and reputed company models. • reputed company reputed company Data reputed company services • Experience with on-prem to reputed company migrations. 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