Senior Web Scraping Specialist(Selenium/Python, up to 50k, fast application)

HR Plus

Hong Kong

Presencial

HKD 508.000 - 608.000

Jornada completa

14 días+

Una candidatura completa en un minuto

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Ventajas ofrecidas por este puesto de trabajo

Double pay
Bonus
16 days annual leave
Medical insurance

Descripción de la vacante

HR Plus is seeking a Senior Web Scraping Specialist (Selenium/Python) in Hong Kong. You will engineer high-frequency scraping programs, manage real-time data streams, and collaborate with cross-functional teams to deliver accurate insights.

Immediate start preferred for a dynamic e-commerce environment. The role offers a fast-paced, globally exposed setting with competitive pay, potential bonuses, and comprehensive benefits including medical coverage and generous leave.

Formación

  • Over 2 years of experience in web scraping and data collection.
  • Proficient with Selenium, Puppeteer, Scrapy and PhantomJS.
  • Strong coding skills in Python, Java, Go or C++; able to work with anti-scraping techniques.

Responsabilidades

  • Develop and maintain low-latency web scraping programs to gather data from multiple pages.
  • Manage and analyze large web-scraped datasets for real-time insights.
  • Test, maintain, and troubleshoot scraping processes to resolve issues.
  • Collaborate with different teams to understand data needs and requirements.
  • Ensure accurate and reliable data through efficient scraping and data operations.
  • Deliver timely data analysis and reporting focusing on low-latency elements.

Conocimientos

Python
Java
Go
C++

Herramientas

Selenium
Puppeteer
Scrapy
PhantomJS

Descripción del empleo

Senior Web Scraping Specialist(Selenium/Python, up to 50k, fast application))

Job Openings Senior Web Scraping Specialist(Selenium/Python, up to 50k, fast application))


About the job Senior Web Scraping Specialist(Selenium/Python, up to 50k, fast application))

About the Role:


Join our client, a dynamic start-up company, as a Senior Web Scraping Specialist. Our client is a market-leading provider of third-party advertising solution services, with a focus on the global platform. As they expand their operations, they are seeking a talented individual to join their team and contribute to their growth. This role offers an excellent opportunity to gain global exposure and valuable experience in the fast-paced world of the e-commerce industry.


Here's what you can gain from this opportunity:



  • Global exposure within a rapidly growing start-up company.

  • Competitive salary package with double pay and bonus.

  • Valuable experience in building web scraping programs from scratch.

  • Competitive salary package with double pay and bonus.

  • 16 days of annual leave, including birthday leave.

  • Comprehensive medical insurance coverage.


Key Responsibilities:



  • Develop and maintain low-latency and high-frequency web scraping programs and scripts to gather data from various web pages.

  • Manage and analyze low-latency data sets from web scraping, ensuring precision and quality for real-time insights.

  • Test, maintain, and troubleshoot web scraping processes to identify and resolve any issues or errors.

  • Collaborate with different teams in the organization to understand data needs and requirements.

  • Ensure real-time, accurate, and reliable data through efficient web scraping and data operations.

  • Deliver timely, informative data analysis and reporting with a focus on low-latency elements.


Requirements:



  • Over 2 years of experience in web scraping and data collection.

  • Proficient in popular web scraping technologies and frameworks, such as Selenium, Puppeteer, Scrapy, and PhantomJS.

  • Strong coding skills in one of the following languages: Python, Java, Go, or C++.

  • Familiar with common anti-scraping and blocking techniques, with practical experience in overcoming them.

  • Bonus points for expertise in reverse engineering, obfuscation, unpacking, distributed systems, data analysis, and data mining.

  • Immediate availability is highly preferred.

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