Data Engineer Customer Experience Group

Your duties will also involve:

• 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 along:

• Minimum 2 years of experience in a similar role.
• 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 database technologies, both relational (SQL) and NoSQL.
• 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.
• Strong academic background in a relevant field.
• Fluent in English (French is a plus).