Innovative Tech Solutions Architect
2 days ago
We're seeking a talented Data Engineer to own the entire tech stack, thrive on early-stage challenges, and build innovative, scalable solutions from day zero.
Key Responsibilities:- Web Scraping & Crawling: Build and maintain automated scrapers to extract structured and unstructured data from websites, APIs, and public datasets.
- Scalable Scraping Systems: Develop multi-threaded, distributed crawlers capable of handling high-volume data collection without interruptions.
- Data Parsing & Cleaning: Normalize scraped data, remove noise, and ensure consistency before passing to data pipelines.
- Anti-bot & Evasion Tactics: Implement proxy rotation, captcha solving, and request throttling techniques to handle scraping restrictions.
- Integration with Pipelines: Deliver clean, structured datasets into NoSQL stores and ETL pipelines for further enrichment and graph-based storage.
- Data Quality & Validation: Ensure data accuracy, deduplicate records, and maintain a trust scoring system for data confidence.
- Documentation & Maintenance: Keep scrapers updated when websites change, and document scraping logic for reproducibility.
- Technical Skills: 2+ years of experience in web scraping, crawling, or data collection; Strong proficiency in Python (libraries like BeautifulSoup, Scrapy, Selenium, Playwright, Requests); Familiarity with NoSQL databases (MongoDB, DynamoDB) and data serialization formats (JSON, CSV, Parquet).
- Soft Skills: Detail-oriented, ensuring accuracy and reliability of collected data; Strong problem-solving skills, particularly in adapting scrapers to evolving web structures; Curious mindset with a drive to discover new data sources.
- Data Quality & Validation: Ensure data accuracy, deduplicate records, and maintain a trust scoring system for data confidence.
- Integration with Pipelines: Deliver clean, structured datasets into NoSQL stores and ETL pipelines for further enrichment and graph-based storage.
- Anti-bot & Evasion Tactics: Implement proxy rotation, captcha solving, and request throttling techniques to handle scraping restrictions.
- Data Parsing & Cleaning: Normalize scraped data, remove noise, and ensure consistency before passing to data pipelines.
- Scalable Scraping Systems: Develop multi-threaded, distributed crawlers capable of handling high-volume data collection without interruptions.
We value transparency, collaboration, and individual ownership, creating an environment where talented people can do their best work.
- Problem-Driven Innovation: We're committed to solving real challenges that genuinely matter for our customers.
- Rapid Action & Ownership: We encourage autonomy and accountability—own your projects, move quickly, and shape the future of our company.
- Collaborative Excellence: Cross-team collaboration ensures alignment, sparks innovation, and drives us forward together.
- Continuous Learning: Fraud evolves rapidly, and so do we. Continuous improvement, experimentation, and learning are core to our success.
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