technologies-expected :

technologies-optional :

about-project :

responsibilities :

Develop & Maintain: Design, implement, and scale web scrapers to extract recruiting data from online platforms.
Containerization & Orchestration: Build and manage containerized applications in a Kubernetes environment.
Monitoring & Optimization: Develop dashboards to track scraper performance and data reliability.
IP Rotation & Stability: Utilize and optimize IP rotation techniques to ensure robust data extraction.
Data Storage & Integration: Efficiently store, structure, and process scraped data using SQL and MongoDB for seamless integration across systems.
Independent Collaboration: Work closely with external teams and stakeholders, integrating solutions seamlessly across different systems.
Documentation & Knowledge Sharing: Clearly document processes, code, and system architectures for transparency and efficiency.

requirements-expected :

Python: Strong proficiency in writing efficient, clean, and scalable code.
Kubernetes: Hands-on experience with container orchestration and deployment.
Web Scraping: Expertise in frameworks like BeautifulSoup or Scrapy for recruiting data extraction.
SQL & MongoDB: Experience working with relational (SQL) and NoSQL (MongoDB) databases to store and process extracted data.
Self-Sufficiency: Ability to work independently and drive projects forward with minimal supervision.
Collaboration: Experience working with external teams, integrating solutions, and managing stakeholder expectations.

offered :

A flexible, independent work environment with the freedom to shape your own workflows.
Exciting projects in recruiting technology, working with innovative external teams.
Opportunities for continuous learning and professional growth.
Competitive compensation based on expertise and project scope.
The position is available in both full-time and part-time, offering flexibility to match your preferences and availability.

benefits :