Senior Data Engineer with Credit Risk
Tasks
- Build and maintain data ingestion flows
- Design and document API versioning error handling and SLAs
- Design and implement batch and ad hoc data pipelines
- Ensure platform reliability observability security and auditability
- Implement orchestration logic for long running computations
- Integrate with external risk engines
- Lead architecture and technical design discussions
- Model and optimize risk measures
- Resolve complex production issues
Perks/Benefits
- Coaching opportunities
- Commuter benefits
- Flexible workplace arrangements
- Insurance coverage
- Learning and development training
- Maternity leave
- On demand Udemy for Business access
- Paid annual leave
- Paternity leave
- Retirement savings plan
Skills/Tech-stack
AWS S3 | Agile | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure DevOps | Bearer Token | CI/CD | Confluence | Data Lake Storage | Databricks | Django | Encryption | FastAPI | Flask | Git | IAM | Jenkins | Jira | Medallion Lakehouse | OIDC | Parquet | Partitioning | PySpark | Python | REST API | SQL | Schema evolution | Spark | Stored Procedures | Z-Order
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Architect | Data Architect | Data Engineer | Engineer | Senior Data Engineer
Regions
Countries
States
Cities
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