Data Engineer, Places
In short
- →Construir infraestructuras de datos para información de lugares y geolocalización.
- →Trabajar con datos geoespaciales ruidosos y grandes conjuntos de datos en producción.
- →Destacado: trabajo híbrido en persona 5 días/semana en un bonito espacio en París.
No se requiere inglés.
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🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →What they ask for
- ✓Python y SQL sólidos.
- ✓Experiencia en producción con Python o Scala.
- ✓Conocimiento de PySpark, Spark SQL, Spark Streaming, Parquet e Iceberg.
- ✓Experiencia con grandes conjuntos de datos y pipelines de datos.
- ✓Familiaridad con datos geoespaciales, POI o datos de entidades reales.
- ✓Capacidad para medir calidad de datos, métricas y experimentos.
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