Senior GCP Data Engineer
Tasks
- Apply database design principles
- Architect scalable data solutions
- Automate data processing with Python
- Bridge cloud data with legacy reporting systems
- Build and run data monitoring and reconciliation
- Design data models
- Develop complex SQL queries
- Ensure data validation and integrity
- Implement partitioning and clustering
- Integrate AI tools into workflows
- Manage production ETL ETL
- Optimize BigQuery query performance
- Own data pipelines end-to-end
- Work with data visualization tools
Perks/Benefits
- 401k matching
- Employee awards
- Hybrid work
- Industry certifications
- Mentorship
- Remote work
- Substantial PTO
- Training
- Tuition reimbursement
Skills/Tech-stack
AI tools | BigQuery | Cloud platform | Clustering | Data Modeling | Data Reconciliation | Data Validation | Database Design | ELT | ETL | Google Cloud | Google Cloud Platform | Looker | Partitioning | Power BI | Python | Query Optimization | SQL | SQL Server | SSRS | Stored Procedures | Tableau
Education
N/A
Roles
Data Engineer | Engineer | GCP Data Engineer | Senior Data Engineer
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