Principal Research Data Engineer
Tasks
- Apply geospatial processing to machine learning models
- Architect build and launch data models for analytics
- Develop and implement research data pipelines
- Develop infrastructure for key metrics
- Develop proof of concepts for new pipelines
- Integrate pipelines with science data through collaboration
- Maintain scalable data processing pipelines
- Recommend changes and predict future results
Perks/Benefits
Skills/Tech-stack
Airflow | Analytical processing | ArcGIS | Avro | CI/CD | CSV | Cloud Functions | Cloud platform | Conda | Data Proc | Docker | GeoJSON | GeoTIFF | Git | Google BigQuery | Google Cloud | Google Cloud Functions | Google Cloud Platform | NoSQL | Online analytical processing | Parquet | PostGIS | PostgreSQL | Python | QGIS | R | SQL
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