Senior Data Engineer - Web Scraping

📋 Description

• Design, develop, deploy, and maintain web scrapers.
• Use Python and Pandas to clean and prepare large datasets.
• Build data pipelines to ingest scraped data into databases/data warehouses.
• Develop and manage scheduled workflows with Apache Airflow.
• Collaborate with analysts and stakeholders to translate data requirements into technical solutions.
• Maintain data quality controls and reliable day-to-day delivery.

🎯 Requirements

• Bachelor’s or Master’s in CS/Engineering or related field.
• 4–6 years of data engineering experience.
• Strong Python and SQL/database skills.
• Advanced Pandas for data cleaning/transformation.
• Web scraping experience with Selenium, Scrapy, XPath.
• Airflow experience for workflow orchestration.

🎁 Benefits

• Fully remote position (anywhere).
• Full-time opportunity in collaborative engineering environment.
• Autonomy and ownership of technical challenges.
• Opportunity to work on web-scraping, data engineering, automation, and data products.
• Exposure to complex datasets supporting analytical decisions.