CXG

CXG provides customer sentiment analysis and consulting services to help businesses enhance customer experiences and drive growth.

Description

  • Maintain and manage website scraping configurations using Python.
  • Monitor scraping configurations for errors, crashes, and blockages.
  • Oversee retrieved data to identify potential issues and data quality problems.
  • Coordinate with stakeholders to understand 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.
  • Build, test, and maintain tasks and projects related to data engineering workflows.

Requirements

  • Minimum 2 years of experience in a similar role.
  • Proven experience in data engineering with scalable data architecture design and implementation.
  • Strong experience with ETL processes, data modeling, and data warehousing; Airflow and DBT preferred.
  • Expertise in relational databases (SQL) and NoSQL 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.
  • Experience with version control systems such as Git.
  • Hands-on experience with Airflow and/or DBT.
  • Experience with Terraform for infrastructure management.
  • Strong academic background in a relevant field.
  • Fluent in English; French is a plus.

Interested in this position?

Apply directly on the company website

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