ML Data Engineer
Tasks
- Build and maintain data pipelines
- Collaborate cross functionally on data challenges
- Conduct code reviews
- Contribute to data architecture decisions
- Document code and design decisions
- Document data sources
- Implement lasting pipeline solutions
- Improve code quality with automation
- Improve observability with logging metrics tracing
- Investigate and resolve data pipeline issues
- Monitor data ingestion pipelines
- Optimize database queries
- Support scalable stable secure internal systems
- Write unit tests
Perks/Benefits
Skills/Tech-stack
AWS | Automation | Cloud Computing | Cloud platform | Code review | Data Architecture | Data Engineering | Data Pipelines | Distributed tracing | Google Cloud | Google Cloud Platform | Logging | Metrics | Microsoft Azure | Monitoring | Observability | Python | Query Optimization | SQL | Unit Testing
Education
N/A
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