Principal Data Engineer (GCP & Big Query)
Tasks
- Apply database design principles
- Architect scalable data solutions
- Automate data processing with Python
- Build and operate production pipelines
- Build data visualization reports
- Collaborate on AI tools to streamline workflows
- Design data models partitioning and clustering
- Develop complex SQL queries
- Implement data monitoring reconciliation and quality assurance
- Lead mentor and motivate team members
- Maintain legacy reporting SQL Server stored procedures SSRS
- Manage ETL/ELT data integration
- Manage cost and slot management
- Optimize BigQuery queries
- Own data pipelines end-to-end
Perks/Benefits
- 401k matching
- Employee awards
- Industry certifications
- Mentorship
- Paid time off
- Recognition programs
- Remote or hybrid work options
- Training
- Tuition reimbursement
Skills/Tech-stack
BigQuery | Cloud platform | Clustering | Cost Management | Data Modeling | ELT | ETL | Google Cloud | Google Cloud Platform | Looker | Partitioning | Power BI | Python | Query Cost Management | Query Optimization | SQL | SQL Server | SSRS | Slot management | Stored Procedures | Tableau
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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