Senior Google Cloud Data Engineer
Tasks
- Build ETL/ELT workflows
- Build Looker dashboards
- Build data quality frameworks
- Create LookML semantic models
- Design batch and real-time data pipelines
- Develop streaming event driven pipelines
- Document systems and architecture
- Implement dbt transformation models
- Implement reliability and security controls
- Optimize BigQuery performance
- Perform root cause analysis
Perks/Benefits
- Career growth opportunities
- Continuous learning culture
- Exposure to global clients
- Flexible remote work
- International collaborative environment
- Technical development support
Skills/Tech-stack
Apache Beam | BigQuery | CI/CD | Cloud platform | Clustering | DBT | Data Governance | Data Modeling | Data Transformation | Dataflow | Dead-letter queues | Disaster Recovery | ELT | ETL | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Great Expectations | LookML | Looker | Partitioning | Pub/Sub | Python | Query Optimization | SQL | Streaming | Watermarking | Windowing
Education
N/A
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