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6 days ago
We are seeking an accomplished Data Engineer to play a pivotal role in shaping our technology vision and architecture. With the opportunity to build our platform from scratch, you will have the freedom to drive innovation and spearhead the development of scalable web scraping systems.
Key Responsibilities- Design and implement large-scale data collection frameworks using Python libraries like BeautifulSoup, Scrapy, Selenium, and Playwright.
- Extract structured and unstructured data from websites, APIs, and public datasets with efficient handling of high-volume data collection.
- Develop multi-threaded crawlers capable of handling massive scraping tasks with proxy management and rate-limiting.
- Implement anti-bot and evasion tactics such as proxy rotation, captcha solving, and request throttling techniques to handle scraping restrictions.
- Deliver clean, structured datasets into NoSQL stores and ETL pipelines for further enrichment and graph-based storage.
- 2+ years of experience in web scraping, crawling, or data collection.
- Strong proficiency in Python, familiarity with NoSQL databases, and data serialization formats.
- Experience in handling large-scale scraping with proxy management and rate-limiting.
- Basic knowledge of ETL processes and integration with data pipelines.
- Familiarity with graph databases is a plus.
- 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 organization.
- 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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