DBT Investment Lead Data Engineer
Tasks
- Administer data warehouse
- Build scalable data pipelines
- Collaborate on unified data model
- Develop data models in dbt
- Drive data quality monitoring
- Implement data ingestion and delivery
- Integrate transformation tools
- Maintain dbt projects
- Orchestrate data workflows
- Perform data validation
- Support during outages
- Troubleshoot data platform issues
Perks/Benefits
- Education assistance
- Employee assistance program
- Generous time off
- Health savings account contributions
- Hybrid work environment
- Medical and dental plans
- Paid Maternity Leave
- Paid parental leave
- Tuition reimbursement
- Wellness programs
Skills/Tech-stack
Agile | Amazon Web Services | Azure | CI/CD | Cloud Data | Cloud Data Engineering | Cloud platform | DBT | Data Engineering | Data Management | Data Modeling | Data Pipelines | Data Quality | Data Validation | Data Warehousing | Data integration | Data mesh | Data orchestration | Data virtualization | DevOps | ELT | ETL | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Non-relational | Non-relational Databases | Real Time | Real-time Data | Relational databases | SQL | Snowflake | Unified Data Management | Unified data | Web Services
Education
Roles
Regions
Countries
States
Cities
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