CXG

Data Engineer - Web Scraping (3-Month Contract, Remote)

Maroc

CDD / ContratTélétravail1–3 ansAnglais, FrançaisData / BIRetail / Grande distribution

L’essentiel du poste

Résumé par Postule AI

CXG, a global customer experience company founded in 2006 and serving 200+ luxury brands, is hiring a remote Data Engineer - Web Scraping on a 3-month contract. The role centers on maintaining and monitoring Python-based website scraping configurations, checking retrieved data for issues and blockages, and building pipelines that ingest data into the Datalake. Candidates should bring data engineering experience, ETL and data modeling skills, cloud knowledge (particularly Azure), and fluent English.

Vos missions

  • Maintain and manage website scraping configurations using Python.
  • Monitor scraping configurations for errors and potential crashes.
  • Oversee retrieved data to detect potential issues and blockages.
  • Coordinate with stakeholders on scraping task requirements and report issues.
  • Prepare and share periodic reports on scraping activities with stakeholders.
  • Develop pipelines to ingest data into the Datalake and perform required transformations.

Profil recherché

  • You have at least 2 years of experience in a similar data engineering role
  • You enjoy building and maintaining Python-based web scraping configurations
  • You have strong ETL, data modeling, and data warehousing skills
  • You are comfortable working remotely on a short 3-month contract
  • You are fluent in English

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Data Engineer - Web Scraping (3-Month Contract, Remote)

CXG is a global customer experience company founded in 2006. It combines data-driven retail performance, customer experience transformation, and operational execution across 200+ luxury brands worldwide. Its 270 collaborators help brands transform customer and employee experiences through tailored insights, strategy, and implementation.

About the role

CXG is looking to hire a Data Engineer - Web Scraping to work remotely on a 3-month contract.

What you will be doing

  • Maintain and manage website scraping configurations using Python.
  • Monitor scraping configurations for errors and potential crashes.
  • Oversee retrieved data to detect potential issues and blockages.
  • Coordinate with stakeholders to understand scraping task requirements and report issues.
  • Prepare and share periodic reports on scraping activities with stakeholders.
  • Develop necessary pipelines to ingest data into the Datalake and perform required transformations.

What you will bring

  • Proven experience in data engineering, with expertise in designing and implementing scalable data architectures.
  • Strong experience with ETL processes, data modeling, and data warehousing (Airflow & DBT preferred).
  • Expertise in relational (SQL) and NoSQL database technologies.
  • Knowledge of cloud platforms, particularly Azure.
  • Solid understanding of data security measures and compliance standards.
  • Excellent Python experience for data engineering and automation.
  • Strong collaboration skills to work closely with data scientists and analysts.
  • Ability to optimize data pipelines for performance and efficiency.
  • Ability to build, test, and maintain tasks and projects.
  • Experience with version control systems, such as Git.
  • Hands-on experience with Airflow and/or DBT.
  • Experience with Terraform for infrastructure management.
  • Minimum 2 years of experience in a similar role.
  • Strong academic background in a relevant field.
  • Fluent in English (French is a plus).

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