Data Engineer - Dry Bulk Commodities
Tasks
- Automate data anomaly checks
- Build data quality tools
- Collaborate with software engineers
- Create Streamlit web UIs
- Develop backend data pipelines
- Develop scripts and CLI utilities
- Identify data quality issues
- Implement monitoring systems
- Query and analyze large datasets
- Test and scale data quality approaches
- Translate analyst pain points into solutions
- Write documentation for tools and processes
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Command Line | Command-line Interface | Data Monitoring | Data Pipelines | Data Quality | Git | Python | SQL | Streamlit
Education
N/A
Roles
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