Role: Sr. Google Cloud Platform Data Engineer
Location: 100% Remote
Duration: Long Term
Experience
- 12+ years in Data Engineering
- Google Cloud Platform experience
- Data Pipeline Development
- Understanding of Data Governance Principles
Skillset
- Google Cloud Platform BigQuery: Query optimization, partitioning, clustering, data modeling
- Cloud Storage: Bucket management, lifecycle policies, data archival
- Cloud Composer: Apache Airflow for workflow orchestration
- Python: Primary language for data engineering to build pipelines
- SQL: Advanced querying, window functions, CTEs
- Bash/Shell: Automation and scripting
- Monitoring: Cloud Logging, Cloud Monitoring
- Git: Version control
- Data Warehousing: Dimensional modeling, ETL/ELT patterns
- Data Quality: Validation, testing, monitoring
- Performance Optimization: Query tuning, cost optimization
Preferred
- Dataflow: Apache Beam, Streaming/Batch Processing Pipelines
- Pub/Sub: Event-Driven Architecture, Message Queuing
- Cloud Functions: Serverless Data Processing Triggers
- Real-time Processing: Streaming Analytics
- PBM/Healthcare Experience
Rate:
Not specified
Location:
United Kingdom
IR35 Status:
Outside
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Senior