Web Data Extraction Specialist

Résumé du poste
CDI
Paris
Salaire : Non spécifié
Début : 30 juin 2024
Télétravail fréquent
Compétences & expertises
Analyse des données
Collecte et analyse de données
Gestion du temps
Communication écrite et verbale
Metabase
+3

Luxurynsight
Luxurynsight

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Le poste

Descriptif du poste

Luxurynsight data department plays a key role in feeding of our clients with data driven insights by managing the full data cycle:

  • Data collection

  • Data cleaning, categorization and harmonization

  • Data analysis

As part of our scaling, we are looking to reinforce our data collection capabilities by recruiting a Web Data Extraction Specialist who will be in charge of:

  • Maintaining, updating and improving existing web scrapping spiders (we currently have 300+ active spiders in Python) based on the continuous feedback of data analysts

  • Building new web data scrappers (e-commerce websites, store locators, social media, etc…)

  • Collaborating with tech team for smooth integration of data extracted by data teams in our platforms

  • Working on ad-hoc data engineering projects (Metabase maintenance, API connections with third parties) based on data teams requirements

  • Exploring algorithimc solutions (based on textual data and images) to enrich data and improve categorization of data (product categories, etc…)

  • Implementing continuous improvement system and innovate with the mindset “let’s ensure the environment to make the next project easier”

  • Setting up procedures and working standards to make sure all the projects are delivered on time

This position could be a good fit for a junior developer familiar with Python looking to move towards data science


Profil recherché

  • +2 years of experience in web data extraction in Python. Experience in other languages is a plus

  • Familiarity with Elasticsearch and SQL is a plus

  • Excellent project, time and organizational management skills

  • Experience working with product catalogue is a plus

  • English, spoken and written. French is a plus


Déroulement des entretiens

  • 1st interview with Abhar, Quantitative Data Manager

  • 2nd interview and case study with Alexis, Chief Data Officer

  • 3nd interview with Jonathan, CEO

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