Highly Experienced Data Engineer Seeking Scalable Web Crawling Solutions
2 weeks ago
Job Title: Web Crawling Data Engineering ManagerJob Description:This position is responsible for leading the development and implementation of scalable data pipelines using web crawling technologies. The ideal candidate will have experience in designing, building, and optimizing complex data systems, as well as a deep understanding of cloud-based infrastructure and workflow orchestration tools.The successful candidate will be able to lead a team of engineers and collaborate with cross-functional teams to translate business requirements into technical solutions. Strong expertise in AI-driven automation and integration of AI agents or frameworks like Crawl4ai is also required.Additionally, the candidate must have hands-on proficiency in Python and SQL, as well as experience working with cloud platforms such as AWS, GCP, or Azure. Deep understanding of web crawling frameworks, proxy rotation, anti-bot strategies, session handling, and compliance with global data collection standards (GDPR/CCPA-safe crawling) is necessary.Required Skills and Qualifications:Proven experience leading data engineering teams with strong ownership of web crawling systems and pipeline architecture.Expertise in designing, building, and optimizing scalable data pipelines, preferably using workflow orchestration tools such as Airflow or Celery.Hands-on proficiency in Python and SQL for data extraction, transformation, processing, and storage.Experience working with cloud platforms such as AWS, GCP, or Azure for data infrastructure, deployments, and pipeline operations.Deep understanding of web crawling frameworks, proxy rotation, anti-bot strategies, session handling, and compliance with global data collection standards (GDPR/CCPA-safe crawling).Strong expertise in AI-driven automation, including integrating AI agents or frameworks like Crawl4ai into scraping, validation, and pipeline workflows.Benefits:This role offers a unique opportunity to work on cutting-edge technology and collaborate with a talented team of engineers. The ideal candidate will be able to adapt to changing priorities and deliver high-quality results in a fast-paced environment.Others:The successful candidate will be expected to collaborate with product, engineering, and analytics teams to ensure seamless integration of data systems and meet business objectives.
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