Python Web Scraper Engineer for Data Mining

NielsenIQ

Madrid, Barcelona, Valladolid

Presencial

EUR 38.400 - 54.700

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Flexible working environment
Volunteer time off

Descripción de la vacante

NielsenIQ is seeking a Python Developer to join the scraping team. You will design, implement, and document Scrapy spiders and help optimize data collection across codebases.

You will review code, validate data, and contribute to major new developments with clear documentation and occasional team training. The ideal candidate has a Master's in CS/IT and 3+ years in software engineering, with Django or FastAPI experience and familiarity with Scrapy, Docker, and cloud services (AWS/GCP/Azure).

Formación

  • Master's degree in Computer Science, IT, or a related field.
  • At least 3 years of professional software engineering experience.
  • Knowledge of BeautifulSoup or Scrapy framework.
  • Experience with RESTful and/or GraphQL APIs.
  • Hands-on experience with Python web frameworks such as Django or FastAPI.
  • Knowledge of the Scrapy framework is a plus.
  • Experience with InfluxDB time series databases is advantageous.
  • Strong skills in Docker, Git, pandas, regular expressions, Linux, and bash scripting.
  • Experience with major cloud providers such as AWS, GCP, or Azure.

Responsabilidades

  • Design, implement, and document robust Scrapy spiders.
  • Conduct code reviews and data validation to maintain high quality.
  • Architect and contribute to significant new developments across multiple codebases.
  • Provide clear technical documentation and conduct training sessions for relevant teams when necessary.

Conocimientos

Python
Django
FastAPI
Scrapy
BeautifulSoup
REST
GraphQL
Docker
Git
Pandas
Linux
Bash
InfluxDB
AWS
GCP
Azure
Regex

Educación

Master's degree in Computer Science/IT or related field

Herramientas

Scrapy
BeautifulSoup

Descripción del empleo

NielsenIQ is seeking a Python Developer to join the scraping team. You will design, implement, and document Scrapy spiders and help optimize data collection across codebases.

You will review code, validate data, and contribute to major new developments with clear documentation and occasional team training. The ideal candidate has a Master's in CS/IT and 3+ years in software engineering, with Django or FastAPI experience and familiarity with Scrapy, Docker, and cloud services (AWS/GCP/Azure).

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