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Senior Social Media Scraping, Automation Engineer
AWISEESenior Social Media Scraping & Automation Engineer at AWISEE building a scalable data collection platform. Working with web scraping, browser automation, and cloud infrastructure for social media data.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing scalable web scraping solutions, including browser automation and distributed scraping infrastructure. Proficient in Python development with a strong focus on performance optimization and data management.
Highest-signal resume keywords
Python DevelopmentWeb AutomationDistributed Scraping InfrastructureProxy ManagementSystem Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Web ScrapingData CollectionETL PipelinesPerformance OptimizationFault Tolerance
Soft Skills
Problem-SolvingCommunicationDocumentation
Tools & Technologies
PlaywrightSeleniumPuppeteerAPIs
Certifications & Qualifications
Bachelor's Degree in Computer ScienceEngineering
Industry Keywords
Browser AutomationSession ManagementCookie HandlingRate-LimitingHigh-Volume Workloads
Tech Stack
Tools & technologiesETLPuppeteerPythonSelenium
About the role
Key responsibilities & impact- Design and develop scalable web scraping solutions for social media platforms and websites.
- Build browser automation using Playwright, Selenium, or Puppeteer.
- Integrate official platform APIs wherever available.
- Develop systems to collect publicly available information.
- Build scheduled data collection and monitoring systems.
- Design distributed scraping architecture capable of handling high-volume workloads.
- Implement proxy rotation, session management, cookie handling, browser fingerprinting basics, and rate-limiting strategies.
- Optimize scraper performance, reliability, and fault tolerance.
- Develop ETL pipelines to clean, validate, deduplicate, and enrich collected data.
- Collaborate with product, data, and engineering teams.
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- 4-8+ years of experience in Python development and web automation.
- Experience building distributed scraping infrastructure.
- Knowledge of proxy management, browser fingerprinting, and session handling.
- Strong problem-solving and system design skills.
- Excellent communication and documentation skills.
Benefits
Comp & perks- Flexible work arrangements
- Professional development opportunities