Software Engineering, Senior Data Engineer
Tasks
- Build scalable data transformation pipelines
- Create data warehouse solutions
- Design develop and support data pipelines
- Develop and maintain DBT data models
- Implement monitoring and operational controls
- Improve data quality and resiliency
- Integrate data ingestion transformation orchestration and validation
- Partner with architects and stakeholders
- Provide production and operational support
- Support resolution of incidents
- Troubleshoot data and system issues
Perks/Benefits
- Commuter benefits
- Education assistance
- Employee assistance program
- Flexible spending accounts
- Generous paid time off
- Health Savings Account contribution
- Hybrid work environment
- Medical and dental plans
- Paid caregiver leave
- Paid parental leave
- Retirement Contribution
- Subsidized fitness benefit
- Tuition reimbursement
- Wellness programs
Skills/Tech-stack
AWS | Agile | Azure | CI/CD | Cloud platform | DBT | Data Architecture | Data Ingestion | Data Modeling | Data Pipelines | Data Quality | Data Resiliency | Data Validation | Data Warehousing | Data mesh | Data orchestration | Data virtualization | DevOps | ELT | ETL | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Monitoring | Real Time | Real-time Data | SQL | Snowflake
Education
Roles
Regions
Countries
States
Cities
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