technology and datascience manager

hace 2 semanas


Madrid, Madrid, España Sotec Consulting A tiempo completo

TECHNOLOGY AND DATASCIENCE MANAGER

Se requiere de la incorporación de un technology and datamanager con el objetivo de liderar el departamento.

REQUISITOS MÍNIMOS :

Título universitario en informática o cualquier otraformación afín al puesto

A) desarrollo de proyectos :

Conocimientos y experiencia demostrable en desarrollo deproyectos de bigdata y data science. Definiciones de procesos y casos de uso.

Experiencia y conocimientos con python y go. Se necesitaexperiencia previa en análisis de datos con lenguajes como r, matlab, python

Manejo a nivel experto de librerías en python : numpy, scipy,scikit-learn, pandas,...

B) bases de datos :

Conocimientos de bases de datos (sql / nosql).

Experiencia previa definiendo bases de datos según lasnecesidades de cada proyecto. El manejo de bases de datos de gran tamaño es muyvalorable.

Experiencia previa como arquitecto de bbdd.

C) experto en sistemas basados en la nube. Principalmenteconocimientos de aws para el desarrollo de los proyectos actuales.

D) otros :

Gran capacidad analítica

Gran conocimiento de sistemas informaticos de todo tipo paraafrontar todos los proyectos actuales.

Conocimiento y manejo de entornos linux para el montaje desistemas de backend para aplicaciones.

Experiencia previa con motores de búsqueda elasticsearch,...

Experiencia previa herramientas como kibana, grafana osimilares es muy valorable

Proactiva / o y dinámica y con ganas de trabajar en y hacerequipo

Responsable y organizada

Que esté al día en las últimas tecnologías

Con gran capacidad de comunicación, tanto oral como escrita.

Nivel de inglés medio

RESPONSABILIDADES :

  • Mantenimiento y optimización de los sistemas actuales
  • Revisión de la arquitectura actual y elaboración depropuestas y diseños para su mejora.
  • Creación de programas en python para la obtención yprocesado de los datos.
  • Creación y mantenimiento de las herramientas devisualización.
  • Validación de los datos de la base de datos y de losreportes creados.
  • Crear y mantener la documentación de las herramientasdesarrolladas.
  • Gestión de las tareas propias y del equipo de data.

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