Data Engineer
Tasks
- Build feature pipelines for underwriting and pricing
- Build ingestion pipelines for heterogeneous data sources
- Build monitoring and alerting for data inconsistencies
- Coordinate data quality fixes with engineering
- Design dbt models for source of truth tables
- Implement feedback loop infrastructure for post quoting learnings
- Maintain data quality documentation
- Orchestrate pipelines with scheduling retries and alerting
- Profile ingest delay and flag structural latency bias
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Alerting | Azure | DBT | Dagster | Data Modeling | Data Observability | Data Quality | Feature Engineering | GCP | MLOps | MLflow | Machine Learning | Monitoring | Prefect | Python | SQL
Education
N/A
Roles
Regions
Countries
States
Cities
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