Data Engineer - Web Scraping (5 months contract)
CXG · India
Business Consulting and Services · 201-500 employees
About the role
The Data Engineer will manage and maintain website scraping configurations using Python while monitoring for errors and potential crashes. They will also develop data pipelines to ingest information into the Datalake and perform necessary transformations.
What they look for
Requirements
Candidates must have at least 2 years of experience in data engineering with strong expertise in ETL, SQL, NoSQL, and cloud platforms like Azure. Proficiency in Python, Airflow, DBT, and version control systems such as Git is required.
Full description
We are growing! We are currently looking to hire a Data Engineer - Web Scraping to work with us remotely on a 5 months contract.
Who we are:
Founded in 2006, today, we’re proud to be a global business. From Shanghai to Paris, we have 12 offices and operate across four continents in 70 countries. We are home to over 160 professionals from around the world, working together to serve more than 200 luxury clients.
At CXG, we love to evolve, elevate, and transform experiences while bringing brand promises to life. We offer strategic solutions that impact performance and elevate the customer experience of some of the world’s most iconic premium and luxury brands.
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 along:
- 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.
- Minimum 2 years of experience in a similar role.
- Strong academic background in a relevant field.
- Fluent in English (French is a plus).
