Senior Software Engineer (Web Scraping, Data Acquisition, Data Collection) - Nielseniq

OverviewHaga clic en “Solicitar” a continuación para enviar su candidatura.Asegúrese de que su CV está actualizado y de que ha leído primero las especificaciones del puesto.In this role you will design and operate scalable distributed scraping systems to extract high-quality data from thousands of domains.You will work within the Scraping and R&D team to push innovative approaches and share knowledge, collaborating with Customer Success, Operations, and Data.You’ll tackle anti-bot challenges and build monitoring to prevent blockers, contributing to fast, scalable visibility for retailers and brands.This is a hands-on, problem?solving role for someone who loves turning difficult data problems into reliable solutions.Compensaciones / BeneficiosFlexible working environmentVolunteer time offLinkedIn LearningEmployee-Assistance-Program (EAP)ResponsabilidadesDesign and build scalable distributed scraping architectures for thousands of domainsReverse engineer APIs and mobile apps using tools like Frida, mitmproxy, Charles Proxy, burpDetect and bypass anti-bot measures to create human-like crawlersLead technical innovation in scraping, prototype approaches, share knowledge with the teamSet up anomaly detection and monitoring to catch blockers or failures earlyRequisitos principales5+ years of Python experience and involvement in large-scale scraping projectsDeep understanding of anti-bot technologies and bypass techniques, fingerprinting, WAFs, JavaScript challengesExperience with Scrapy, Requests, httpx, Selenium, Playwright or similar headless driversProficiency with proxies (residential, datacenter, rotating), session management, cookie injection, TLS tweakingStrong debugging skills across browser, HTTP traffic, xqziphu and device-level interactionsIndependent problem solver with a track record of solving new problemsFamiliarity with Parquet, Avro or real-time stream processingKnowledge of databases like MongoDB, InfluxDB, and Redis and how to optimize themIndependent thinkingStrong problem-solving abilitiesSelf-motivation and proactivityPython for large-scale scrapingAnti-bot bypass techniques, fingerprinting, WAFs, JavaScript challengesScrapy, Requests, httpx, Selenium, Playwright or headless drivers

Requisitos principales5+ years of Python experience and involvement in large-scale scraping projects Deep understanding of anti-bot technologies and bypass techniques, fingerprinting, WAFs, JavaScript challenges Experience with Scrapy, Requests, httpx, Selenium, Playwright or similar headless drivers Proficiency with proxies (residential, datacenter, rotating), session management, cookie injection, TLS tweaking Strong debugging skills across browser, HTTP traffic, xqziphu and device-level interactions Independent problem solver with a track record of solving new problems Familiarity with Parquet, Avro or real-time stream processing Knowledge of databases like MongoDB, InfluxDB, and Redis and how to optimize them Independent thinking Strong problem-solving abilities Self-motivation and proactivity Python for large-scale scraping Anti-bot bypass techniques, fingerprinting, WAFs, JavaScript challenges Scrapy, Requests, httpx, Selenium, Playwright or headless drivers