JR Data scraper at Solvo Global

What will be your main challenges? (Responsibilities)

• Research and identify public and government data sources.
• Extract, transform, and normalize data from websites, APIs, feeds, FTP sources, and online repositories.
• Design and build reusable, scalable, and maintainable ETL processes and workflows (no one-off scripts!).
• Apply advanced web scraping techniques using Python, HTTP requests, and HTML parsing.
• Ensure quality: Identify inconsistencies, validate data samples, and document methodologies and processes.
• Collaborate and version control: Maintain repositories using Git under development best practices and maintain clear communication with stakeholders.

What are we looking for? (Requirements)

• Solid experience in web scraping, data scraping, and structured/unstructured data extraction.
• Technical proficiency: Hands-on experience programming in Python (or similar languages), knowledge of APIs, HTTP, FTP, HTML parsing, and relational databases like PostgreSQL.
• Language: Advanced English level (fluent written and technical communication).
• Analytical mindset: Ability to solve complex data acquisition problems, optimize solutions, and work independently while taking on technical challenges.
• Quality focus: Strong emphasis on data validation, normalization, and documentation.