
Python Developer
Posted Aug 11

Posted Aug 11
This is a fully remote position, open to applicants in Poland.
• Design, develop, and maintain Python-based scrapers for specific web portals, adeptly managing dynamic content, pagination, rate limiting, and anti-bot measures.
• Integrate scraping pipelines with OCR tools to extract text and structured data from images, scanned documents, and PDFs.
• Construct end-to-end data pipelines that gather, transform, and store scraped data in cloud storage solutions.
• Deploy and oversee scraping tasks on AWS, including scheduling, monitoring, and error management.
• Validate and clean extracted data, address edge cases, and ensure output consistency across different sources.
• Document scraper architecture, data schemas, and operational procedures for effective handover and long-term sustainability.
• Proficient in Python with extensive experience in web scraping libraries such as Scrapy, BeautifulSoup, Selenium, and Playwright.
• Hands-on experience in integrating OCR tools into data pipelines, including Tesseract or cloud-based OCR services.
• Familiarity with AWS, particularly S3, EC2, and basic networking/scheduling with Lambda, EventBridge, or cron.
• Strong understanding of HTTP, HTML/CSS structure, browser DevTools, and common anti-scraping techniques.
• Experience in data parsing and transformation using JSON, XML, CSV, and libraries like pandas.
• Knowledge of version control with Git and adherence to clean coding practices.
• Comfortable navigating a Linux terminal environment.
• Proficient in English for reading documentation and collaborating with the team.
• Professional experience at an experienced level.
• Nice-to-have: expertise in headless browser automation at scale.
• Nice-to-have: experience with proxy management, CAPTCHA handling, and IP rotation strategies.
• Nice-to-have: familiarity with Docker.
• Nice-to-have: skill in task orchestration tools such as Airflow, Prefect, or Step Functions.
• Nice-to-have: knowledge of SQL databases.
• Nice-to-have: background in the CPG/FMCG or Retail data domain.
• Fully remote work environment.
• Access to cloud infrastructure (AWS) for development and deployment purposes.
• Collaboration with an experienced Data Science team tackling real business challenges in the CPG/Retail sector.
• Clearly defined project scope and technical support from the team.
• Investment in employee development.
• Equal Opportunity, Affirmative Action employer.
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