Were seeking a talented and driven Python Web Scraping & Automation Engineer to develop scalable solutions for data extraction and automation. The ideal candidate will have hands-on experience with Python-based scraping tools and frameworks as well as a solid background in working with SQL databases. In this role, you’ll be responsible for building efficient web crawlers, automating data pipelines, creating RESTful APIs, and supporting backend development efforts as needed. Key Responsibilities: Build and maintain efficient web scrapers using tools like Scrapy, BeautifulSoup, Selenium, and Requests. Automate data collection, processing, and storage with clean, reusable, and well-documented code. Develop backend services and RESTful APIs using frameworks such as Flask, FastAPI, or Django. Design and manage SQL databases (MySQL, PostgreSQL) to support data storage, access, and analytics. Implement proxy rotation, session handling, and CAPTCHA bypass mechanisms for reliable data scraping. Monitor and optimize scraper and API performance to ensure scalability, speed, and reliability. Collaborate closely with data analysts and developers to build and deliver end-to-end data solutions. Follow ethical and legal best practices for web scraping and data handling. Diagnose and fix issues across web crawlers, backend services, and data pipelines. Preferred candidate profile Must have excellent experience in Python we scraping and Sql Server. This is a work from home job

Were seeking a talented and driven Python Web Scraping expert to develop scalable solutions for data extraction and automation. The ideal candidate will have hands-on experience with Python-based scraping tools and frameworks as well as a solid background in working with SQL databases. In this role, youll be responsible for building efficient web crawlers, automating data pipelines, creating RESTful APIs, and supporting backend development efforts as needed. Key Responsibilities: Build and maintain efficient web scrapers using tools like Scrapy, BeautifulSoup, Selenium, and Requests. Automate data collection, processing, and storage with clean, reusable, and well-documented code. Develop backend services and RESTful APIs using frameworks such as Flask, FastAPI, or Django. Design and manage SQL databases (MySQL, PostgreSQL) to support data storage, access, and analytics. Implement proxy rotation, session handling, and CAPTCHA bypass mechanisms for reliable data scraping. Monitor and optimize scraper and API performance to ensure scalability, speed, and reliability. Collaborate closely with data analysts and developers to build and deliver end-to-end data solutions. Follow ethical and legal best practices for web scraping and data handling. Diagnose and fix issues across web crawlers, backend services, and data pipelines. Preferred candidate profile Must have excellent experience in Python we scraping and Sql Server. This is a work from home job