Senior Data Engineer - Web Scraping

📋 Description

• Design, develop, deploy, and maintain web scrapers to collect datasets from diverse sources.
• Use Python and Pandas to clean, explore, transform, and prepare large datasets.
• Build data pipelines ingesting scraped data into databases/data warehouses.
• Develop and manage scheduled workflows with Apache Airflow and other tools.
• Collaborate with analysts and stakeholders to translate data requirements into solutions.
• Develop quality-control checks for data availability, accuracy, and integrity.

🎯 Requirements

• Bachelor’s or master’s degree in Computer Science, Engineering, or related field.
• 4–6 years of professional experience in data engineering or related field.
• Strong Python programming skills and solid SQL/database knowledge.
• Advanced experience with Python Pandas for data cleaning and transformation.
• Web-scraping experience with Selenium, Scrapy, Fiddler, Postman, XPath.
• Strong experience with Apache Airflow for workflow orchestration.

🎁 Benefits

• Fully remote position with the flexibility to work from anywhere.
• Full-time opportunity in a collaborative engineering environment.
• Significant autonomy, ownership, and trust in technical challenges.
• Opportunity to work on web-scraping, data engineering, automation, and data-product initiatives.
• Exposure to complex datasets supporting analytical and investment-related decisions.
• Collaboration with engineers, product, analysts, data scientists, and tech professionals.