Data Engineer

hace 1 semana


Toledo, Toledo, España onhunters A tiempo completo
Desde
onhunters estamos buscando
DATA ENGINEER para trabajar en importante multinacional, en
Toledo.

Funciones principales:

  • Gestión de los datos; recopilación, producción, almacenamiento, tratamiento, uso, intercambio, explotación, análisis, publicación, facilitación del acceso, interoperabilidad, características técnicas,
  • Análisis de los requisitos de usuario de alto nível
  • Identificación y propuesta de sistemas tecnológicos que satisfagan las especificaciones técnicas y los requisitos
  • Definición de tipología y número de usuarios
  • Apoyo en la elaboración de un documento que incluya tanto los requisitos de usuario (requisitos operativos o funcionales) como los requisitos técnicos (o no funcionales, así como las restricciones técnicas)
  • Apoyo en la elaboración de un documento que describa tanto las especificaciones técnicas como los sistemas tecnológicos propuestos
  • Apoyo a la recepción y puesta en marcha de la plataforma inteligente
  • Trabajo con herramientas de Extracción, Transformación y Carga de Datos (ETL)
  • Modelización de datos y estructuración de la información
  • Diseño, entrenamiento y despliegue de algoritmos de análisis de datos
  • Operación de bases de datos relacionales tanto SQL como no SQL
  • Desarrollar y mantener pipelines de procesamiento de datos para garantizar la disponibilidad, integridad y seguridad de los datos

Requisitos:

Mínimos:
-
Titulación
Universitaria (Licenciatura, Ingeniería Superior o Técnica, Diplomatura, Master o Grado),
Nível MECES 2:

  • Experiência profesional en las funciones descritas anteriormente.
-
Inglés: B1/B2 o equivalente

Requisitos Deseables/ Adicionales

Experiência en:

  • Almacenamiento y análisis de datos en Cloud con Amazon Web Services (AWS), Google Cloud Platform o Microsoft Azure
  • Máster / Titulación en Big Data, Machine Learning, Data Mining o Inteligencia Artificial (en datos)
  • Herramientas Business Intelligence (BI)
  • Herramientas Apache Hadoop, Spark y HIVE
  • Herramientas de Extracción, Transformación y Carga de Datos (ETL) Apache Kafka, Apache Nifi, Apache Spark, Airflow
  • Programación con Python, SQL y R
  • Proyectos de Diseño e Implementación de Estrategias de Gestión del Dato en organizaciones
  • La Explotación de Bases de Datos Relacionales y no relacionales (ORACLE, ACCESS, SQLserver, MongoDB, MySQL, Cassandra o Redis).
  • Conocimientos en Big Data, como Hadoop y Spark
  • Proyectos Business Intelligence incluyendo el uso de Herramientas tipo Power BI, incluyendo la Definición y Elaboración de Informes Directivos
  • Herramientas para la Gobernanza del Dato
  • Operación de herramientas Big Data

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