Senior Data Engineer with Credit Risk
Tasks
- Build data ingestion flows to object storage
- Design REST APIs with versioning and error handling
- Design batch and ad hoc data pipelines
- Ensure platform reliability observability security and auditability
- Implement partitioning z ordering and schema evolution
- Integrate with external risk engines and orchestrate long running computations
- Lead architecture and technical design discussions
- Model and optimize risk measures for querying
- Support production operations and resolve complex issues
Perks/Benefits
- Commuter benefits
- Flexible workplace arrangements
- Insurance (medical, dental, vision)
- Maternity leave
- Paid annual leave
- Paid sick leave
- Paternity leave
- Retirement savings
- Training opportunities
Skills/Tech-stack
ADLS | AWS | Agile | Azure | Azure DevOps | Bearer Token | CI/CD | Confluence | Databricks | Django | Encryption | Encryption at rest | Encryption in Transit | FastAPI | Flask | Git | IAM | Jenkins | Jira | Medallion Lakehouse | OIDC | Observability | Parquet | Partitioning | PySpark | Python | REST API | S3 | SQL | Schema evolution | Spark | Z-ordering
Education
N/A
Roles
Architect | Data Architect | Data Engineer | Engineer | Senior Data Engineer
Regions
Countries
States
Cities
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