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 that ingest scraped data into databases and data warehouses.
• Develop and manage scheduled workflows with Apache Airflow and other orchestration tools.
• Collaborate with analysts and stakeholders to translate data needs into technical solutions.
• Implement quality-control checks for data availability, accuracy, and integrity.

🎯 Requirements

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

🎁 Benefits

• Fully remote position with flexibile location.
• Full-time opportunity in a collaborative engineering environment.
• Autonomy and ownership over technical challenges.
• Opportunity to work on web-scraping, data engineering, automation, and data-product initiatives.
• Exposure to complex datasets supporting analytical and investment decisions.
• Collaboration with engineering, product, analysts, and data scientists.