Data Engineer, Security
Tasks
- Build data foundations for AI-driven risk scoring and underwriting
- Build scalable ELT pipelines with Snowflake and dbt
- Design data models and architecture for cyber security analytics
- Develop and maintain LookML semantic layer for BI
- Ensure data security with masking, RBAC, and secure handling
- Implement data monitoring and observability with SLIs and automated alerts
- Mentor team through code reviews and best practices
Perks/Benefits
Skills/Tech-stack
AI-assisted coding | AI-assisted coding tools | AI/ML | AI/ML foundations | Code Reviews | Coding Tools | Cyber Insurance | Cybersecurity | DBT | Data Architecture | Data Modeling | Data Pipelines | Data Products | Data Quality | Data masking | ELT pipelines | High Performance | High-performance data products | LookML | Looker | ML foundations | Monitoring | Observability | Python | RBAC | Security practices | Snowflake
Education
Roles
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