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 for reliable data delivery.
• Collaborate with analysts and stakeholders to translate data requirements into technical solutions.
• Develop quality-control checks to validate 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, SQL, and database knowledge.
• Advanced Pandas for data cleaning and transformation.
• Web-scraping experience with Selenium, Scrapy, Fiddler, Postman, XPath.
• Experience with Apache Airflow for orchestration.

🎁 Benefits

• Fully remote position; work from anywhere.
• Full-time opportunity in a collaborative engineering environment.
• Significant autonomy and ownership over projects.
• Work on sophisticated web-scraping, data engineering, automation, and data-product initiatives.
• Exposure to complex datasets supporting analytical and investment-related decision-making.
• Collaborate with engineering, product, analysts, data scientists, and other tech professionals.