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.
• Manage scheduled workflows with Apache Airflow and other tools for reliable delivery.
• Collaborate with analysts and stakeholders to translate data needs into technical solutions.
• Develop quality checks to validate data availability, accuracy, and integrity.

🎯 Requirements

• Bachelor’s or master’s in CS, Engineering, or related field.
• 4–6 years of data engineering experience.
• Strong Python skills; strong SQL and DB tech knowledge.
• Advanced Pandas for cleaning, manipulation, exploration, and transformation.
• Web-scraping experience with Selenium, Scrapy, Fiddler, Postman, XPath.
• Experience with Apache Airflow for orchestration.

🎁 Benefits

• Fully remote position with flexibility to work from anywhere.
• Full-time opportunity in a collaborative engineering environment.
• Autonomy, ownership, and trust in technical challenges.
• Opportunity to work on web-scraping, data engineering, automation, and data products.
• Exposure to complex datasets supporting analytical decisions.
• Collaboration with engineering, product, analysts, data scientists, and tech teams.