Senior Data Engineer

il y a 3 jours


Paris, Île-de-France DoubleVerify Temps plein

Descripción del Puesto:

La misión de DoubleVerify es proporcionar a los compradores de medios estrategias de compra automatizadas para campañas de publicidad en pantalla, lo que conduce a desempeños sin precedentes con un mínimo de trabajo humano.

El Equipo de Ingeniería de Datos:

El equipo de Ingeniería de Datos es el corazón del producto Scibids, y es responsable de la comunicación entre Scibids y sus socios.

Todos los equipos necesitan datos correctos y confiables. Ingresamos datos diversos y volumétricos. El equipo también gestiona las comunicaciones con los socios. Utilizamos la API de los socios cruzada con un conjunto de reglas comerciales para subir modelos generados por el producto Scibids.

Como Desarrollador de Datos Senior:

Tu papel será participar en el desarrollo del proyecto y asegurarte de que se ejecute de manera eficiente.

El alcance de la aplicación varía entre varias tareas:

  • Creación de trabajos ETL para hacer que los datos de los socios estén disponibles para otros equipos. Hay varios orígenes de datos, por ejemplo, datos de la API o archivos en formato CSV, Avro o Parquet con millones de filas.
  • Contribuir al desarrollo de un ETL inverso para subir modelos de Scibids
  • Creación de API y librerías para ayudar a las comunicaciones entre equipos

Tecnologías relevantes para la posición:

  • Python, Prefect
  • Entorno de Google Cloud, Bigquery, Cloud SQL, Google Cloud Datastore, Cloud Run,...

Información de contacto:

Manager, Data Engineering

Paris, Francia

Requisitos mínimos:

  • 3+ años de experiencia como ingeniero de datos
  • Conocimientos avanzados de uno o varios lenguajes de programación
  • Competencia en SQL y Python
  • Saber programar de manera simple y concisa (principio KISS)
  • Interés y capacidad para aprender otros lenguajes de programación según sea necesario

Requisitos preferidos:

  • Experiencia profesional trabajando con grandes conjuntos de datos
  • Experiencia trabajando con dos de los siguientes: sistemas distribuidos y paralelos, recuperación de información, desarrollo de grandes sistemas de software
  • Realizar un seguimiento regular de tecnologías relacionadas con datos

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