3 Ip Rotation Jobs

As a Lead Data Scraping Engineer, you will be a vital part of our team in Ahmedabad/WFO, bringing your senior-level expertise with over 4 years in the IT scraping industry. Your role will involve not only hands-on data scraping using tools like Scrapy and Python libraries but also leading and mentoring a team of 5+ developers to deliver successful projects within set timelines. Your primary responsibilities will include designing and implementing scalable data scraping solutions, managing project timelines, and ensuring the team's success through effective leadership. You will be expected to utilize advanced scraping techniques, reverse engineering, and automation to overcome scraping restrictions and automate interactions effectively. In addition to overseeing proxies, IP rotation, and SSL unpinning for efficient scraping, you will also be responsible for maintaining API integrations, data pipelines, and ensuring code quality through version control, error handling, and documentation. Collaboration with cross-functional teams, performance monitoring, and providing solutions under high-pressure environments will also be key aspects of your role. To excel in this position, you should have a minimum of 4 years of experience in data scraping, with at least 2 years of leadership experience managing a team of developers. Proficiency in tools like Scrapy, Threading, requests, and web automation, along with advanced Python skills, is essential. Additionally, strong technical skills in captcha solving, blocking handling, source reverse engineering, and API management are required. Your leadership skills should include basic project management, moderate documentation, team handling, pressure management, flexibility, adaptability, and high accountability. Experience with Linux, as well as knowledge of tools like Appium, Fiddler, and Burp Suite, would be considered a plus. If you are passionate about data scraping, possess strong technical expertise, and thrive in a leadership role, we encourage you to apply and be part of our dynamic team.,

As a skilled Web Scraping Data Analyst, you will be responsible for collecting, cleaning, and analyzing data from various online sources. Your expertise in Python-based scraping frameworks, data transformation, and experience with proxy/VPN rotation and IP management will be crucial in building data pipelines that support our analytics and business intelligence initiatives. Your key responsibilities will include designing, developing, and maintaining robust web scraping scripts using tools like Python, BeautifulSoup, Scrapy, Selenium, etc. You will also implement IP rotation, proxy management, and anti-bot evasion techniques, deploy scraping tools on cloud-based or edge servers, and monitor scraping jobs for uptime and efficiency. Additionally, you will parse and structure unstructured or semi-structured web data into clean, usable datasets, collaborate with data analysts and data engineers to integrate web-sourced data into internal databases and reporting systems, conduct exploratory data analysis (EDA), and ensure compliance with website scraping policies, robots.txt, and relevant data privacy regulations. To excel in this role, you should have proficiency in Python and experience with libraries like Requests, BeautifulSoup, Scrapy, Pandas. Knowledge of proxy/VPN usage, IP rotation, and web traffic routing tools (e.g., Smartproxy, BrightData, Tor, etc.), familiarity with cloud platforms (AWS, Azure, or GCP) and Linux-based environments, experience deploying scraping scripts on edge servers or containerized environments (e.g., Docker), solid understanding of HTML, CSS, JSON, and browser dev tools for DOM inspection, strong analytical mindset with experience in data cleansing, transformation, and visualization, good knowledge of SQL and basic data querying, and ability to handle large volumes of data and build efficient data pipelines. Preferred qualifications for this role include experience with headless browsers like Puppeteer or Playwright, familiarity with scheduling tools like Airflow or Cron, background in data analytics or reporting using tools like Tableau, Power BI, or Jupyter Notebooks, and knowledge of anti-captcha solutions and browser automation challenges. This is a full-time position with the work location being in person.,

As an experienced automation engineer, you will be responsible for designing, building, and maintaining sophisticated web scraping systems and autonomous application agents. Your role will involve combining technical expertise in web automation with strategic thinking to develop tools that efficiently collect data and interact with web applications. Your key responsibilities will include designing and developing robust web scraping architectures capable of collecting structured data from complex websites, including those with anti-bot measures. You will also build intelligent agents that can autonomously navigate job application workflows, including form completion and document submission. Implementing sophisticated rate limiting, proxying, and browser fingerprinting techniques to ensure reliable operation will be crucial. Additionally, you will create data processing pipelines to clean, normalize, and enrich collected information, develop monitoring systems to detect and adapt to website changes, and build user-friendly interfaces for controlling automation systems. It is essential to stay current with evolving anti-automation technologies and develop countermeasures. To excel in this role, you should have 4+ years of experience with web scraping and automation technologies, strong programming skills in Python and JavaScript, and advanced experience with browser automation libraries such as Puppeteer, Playwright, or Selenium. Expertise in parsing HTML/DOM structures and handling dynamic content (AJAX, SPAs), experience implementing IP rotation, user-agent cycling, and browser fingerprinting solutions, and knowledge of data storage solutions for organizing and querying large datasets are required. Familiarity with headless browser environments, containerization, and deploying automation scripts in Lambda AWS is also necessary. Preferred qualifications include experience with proxy management services and residential IP networks, knowledge of machine learning techniques for solving CAPTCHAs and pattern recognition, experience with natural language processing for enhancing form completion logic, familiarity with ethical and legal considerations surrounding web automation, experience developing against enterprise authentication systems, and understanding of job application workflows and ATS (Applicant Tracking Systems). In return, we offer a competitive salary and benefits package, a flexible work environment, cutting-edge technical challenges, and the opportunity to shape the development of next-generation automation systems.,