Data Science Specialist

hace 3 semanas

Granada, México Nestle Operational Services Worldwide SA A tiempo completo

**Lugar de trabajo: Ciudad de México**

**Descripción del Puesto**

Ingeniero de datos con habilidades intermedias en Databricks, experiência en la creación y gestión de pipelines de datos utilizando Databricks, así como sólidos conocimientos en Python. Responsable de desarrollar y mantener pipelines de datos eficientes y escalables, así como de colaborar estrechamente con equipos multidisciplinarios para satisfacer las necesidades de análisis de datos de la organización.

**Responsabilidades**

1. Desarrollar y mantener pipelines de datos utilizando Databricks para la ingestión, transformación y carga de datos desde múltiples fuentes.

2. Colaborar con equipos de ingeniería y análisis de datos para comprender los requisitos y diseñar soluciones efectivas.

3. Optimizar el rendimiento y la eficiencia de los pipelines de datos para garantizar la escalabilidad y la fiabilidad del sistema.

4. Realizar pruebas exhaustivas y depurar problemas para garantizar la integridad y la calidad de los datos.

5. Automatizar tareas repetitivas y mejorar los procesos utilizando herramientas y scripts en Python y SQL.

6. Documentar y mantener la documentación técnica relevante relacionada con los pipelines de datos y los procesos de ETL.

7. Colaborar con otros equipos para desarrollar dashboards/front ends, informes y análisis basados en los datos procesados.

**Requisitos**
- ** Licenciatura concluida** en Ciencias de la Computación, Ingeniería de Software, Ingeniería Informática o campo relacionado
- Experiência laboral previa de al menos 1 año en roles similares, preferiblemente en entornos de análisis de datos o business intelligence
- Experiência demostrable en la creación y gestión de pipelines de datos utilizando Databricks
- Conocimientos sólidos de programación en Python para el desarrollo de scripts y automatización de tareas.
- Experiência en el diseño y optimización de consultas SQL para manipular y extraer datos de bases de datos relacionales.
- Familiaridad con conceptos de computación en la nube y plataformas de almacenamiento de datos como AWS, Azure o Google Cloud Platform.
- Capacidad para trabajar de manera autónoma y en equipo en un entorno dinámico y en constante cambio.
- Excelentes habilidades de comunicación verbal y escrita, con la capacidad de explicar conceptos técnicos de manera clara y concisa.
- Orientación a resultados y capacidad para gestionar múltiples tareas y proyectos simultáneamente.
- Nível de inglés: Intermedio-avanzado

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