Senior Data Engineer
Tasks
- Administer Snowflake including RBAC and data masking
- Automate service and ML model deployment
- Build and operate production services end to end
- Build internal data platforms
- Create config driven ingestion and transformation UIs
- Design temporal workflow systems
- Develop Python libraries for data workflows
- Ensure data privacy regulatory compliance
- Implement cost governance and optimization
- Monitor performance reliability and health in production
- Operate distributed workflow systems
- Provide orchestration CI CD testing frameworks and metadata
- Support analytics engineering data marts enablement
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Airflow | Amazon SageMaker | Automated testing | CI/CD | Code review | Concurrency | Containerization | DBT | Data Governance | Data Warehousing | Data masking | ETL | Flink | Go | Kafka | Kubeflow | MLOps | MLflow | Observability | Python | RBAC | SQL | Snowflake | Stream processing | System design | Temporal
Education
N/A
Roles
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