Big Data Processing Expert (Madrid)

HAYS
Madrid - España 04/11/2020

Descripción de la oferta de empleo

Be a key driver on BASF´s path to digitalisation by supporting existing products and initiatives as well as innovate additional digital solutions that supports BASF´s global businesses

You will be part of the unit Knowledge Innovation, responsible for a knowledge system containing a huge number of scientific documents. You will be working in an international and dynamic environment. Your responsibilities will include:


- Build (big) data pipelines for complex and distributed data processing
- Closely collaborate with the product team to understand requirements, work out and implement new features for fast and insightful interaction with data

- Implement security principles and align with our external security consultants
- Work in an international team and agile environment





Must have qualification


- A degree in computer science, software engineering, or mathematics/natural sciences or similar experience
- 5+ years of building (big) data pipelines for complex and distributed data processing
- Experience with distributed data processing frameworks like Spark
- Experience working with high volumes of unstructured data (text, documents)
- 3+ years of experience with Java/Scala or Python
- Experience working in a DevOps environment using development tools and CI/CD pipelines, also with containers and container orchestration
- Experience using cloud environments
- Fluent communication in English is required



Nice to have


- Experience using graph databases, full-text search engines, document-oriented databases and messaging systems - ideally Neo4j, ElasticSearch, MongoDB and RabbitMQ.
- Experience with tools like Airflow or Talend

Otros detalles de la oferta

CVs inscritos en el proceso: 4

Datos principales de la oferta
  • Madrid, Madrid Centro - Madrid
    España
    Ubicación
  • Big Data
    Funciones
  • Jornada completa
    Jornada
  • Más de 5 años
    Experiencia
  • Indefinido
    Tipo contrato
  • Spark Java Scala Python

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