*what you will do*
- *web scraping & data extraction*: design, develop, and optimize web scraping strategies for large-scale data extraction from dynamic websites; identify and assess relevant data sources, ensuring alignment with business objectives; implement automated web scraping solutions using python and libraries like scrapy, beautifulsoup, and selenium; build resilient and adaptable scrapers that can handle website structure changes, rate limits, and anti-scraping measures;
- *data processing & integration*: cleanse, validate, and transform extracted data to ensure accuracy, consistency, and usability; store and manage large volumes of scraped data using best-in-class storage solutions; develop etl pipelines to integrate scraped data into data warehouses and analytics platforms; collaborate with cross-functional teams, including data scientists and engineers, to make scraped data actionable.
- *web scraping & optimization*: optimize scraping procedures to improve efficiency, reliability, and scalability across multiple data sources; implement solutions for bypassing captchas, rotating user agents, and managing proxy services; continuously monitor, troubleshoot, and maintain scraping scripts to minimize disruptions due to site changes.
- *compliance & documentatio*:stay up to date with legal, ethical, and compliance considerations related to web scraping and data collection; ensure data collection processes align with best practices and regulatory requirements; maintain clear and detailed documentation of scraping methodologies, data pipelines, and best practices.
*must haves*
- *5+ years* of hands-on experience in web scraping, data extraction, and integration;
- strong proficiency in *python* and web scraping frameworks (*scrapy*, *beautifulsoup*, *selenium*);
- expertise in handling dynamic content, browser fingerprinting, and bypassing anti-bot mechanisms (e.g., captchas, rate limits, proxy rotation);
- deep understanding of *html*, *css*, *xpath*, and *javascript-rendered content*;
- experience working with *large-scale data storage* solutions and optimizing retrieval performance;
- strong grasp of *etl* *processes*, *data pipelines*, and *data warehousing*;
- familiarity with *apis* for data extraction and integration from public and restricted sources;
- strong problem-solving skills with an ability to debug and adapt to changing web structures;
- solid understanding of *web scraping ethics*, *legal implications*, and *compliance guidelines*;
- upper-intermediate english level.
*nice to haves*
- *bachelor’s degree* in computer science, data science, information technology, or a related field;
- experience with *cloud-based distributed scraping systems (aws, gcp, azure)*;
- knowledge of *big data frameworks* and experience handling high-volume datasets within *snowflake*;
- familiarity with *machine learning techniques* for data extraction and natural language processing (nlp);
- experience working with *json*, *xml*, *csv*, and other *structured data formats*;
- proficiency with *version control systems* (*git*).
*the benefits of joining us*
- *professional growth*:accelerate your professional journey with mentorship, techtalks, and personalized growth roadmaps.
- *competitive compensation*:we match your ever-growing skills, talent, and contributions with competitive usd-based compensation and budgets for education, fitness, and team activities.
- *a selection of exciting projects*:join projects with modern solutions development and top-tier clients that include fortune 500 enterprises and leading product brands.
- *flextime*:tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive.
*next steps after you apply*
work location: remote