Tech Lead
7 days ago
**Responsibilities
The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated.
With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. Our product engineering team is responsible for building an e-commerce ecosystem that is innovative, secure and intuitive for our users. We are looking for passionate and talented people to join us as we drive the future of e-commerce here at TikTok.
**You will**:
- Aggregate public domain data on the Internet to meet various business data needs
- Responsible for the architecture and development of distributed data/content aggregation system, perform full stack optimisation for data crawling, scheduling, analysis and storage.
- Overcome various data crawling technical challenges, continuously improve the quality and performance of very large scale data aggregation systems.
- Lead data mining team - drive continuous technical innovations and develop high performing R&D team to meet key business objectives
**Qualifications
- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.
- 6+ years data mining related experience, including data aggregation and crawling
- Familiar with one of Python/Java/Go/C++ with demonstrable coding ability;
- Familiar with mainstream data crawling technologies and frameworks, such as Selenium/Puppeteer/Scrapy/PhantomJS, etc.;
- Familiarity and practical experience in tackling common anti-crawling methodologies & strategies
- Familiarity and demonstrable expertise in reverse engineering, web security and data obfuscation, unpacking, analysis and mining is highly advantageous.
**IDEAL CANDIDATE**
- Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver.
- Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment.
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