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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in end-to-end data extraction workflows, utilizing Python for web scraping and data validation. Proficient in managing complex datasets and ensuring data quality through systematic verification and cloud infrastructure.
Highest-signal resume keywords
Python Web ScrapingData Cleaning and NormalizationCloud Infrastructure (AWS)Dynamic Content ExtractionAnti-Bot Mechanisms Handling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Web ScrapingData ExtractionData ValidationBeautifulSoupSeleniumAPIs via ProxiesCSV FormattingJSON FormattingGoogle SheetsContainerization (Docker)
Soft Skills
Attention to DetailSelf-Directed Work EthicTroubleshooting
Tools & Technologies
ApifyOpenRouterLangChainCloud InfrastructureGitHub
Industry Keywords
Data EngineeringAutomationSoftware DevelopmentDynamic Site StructuresComplex Data Structures
Tech Stack
Tools & technologiesAWSCloudDockerJavaScriptPythonSelenium
About the role
Key responsibilities & impact- Own end-to-end data extraction workflows across complex websites
- Deliver complete, accurate, and reliable structured datasets
- Use tools such as Apify, OpenRouter, and custom workflows to accelerate data collection, validation, and task execution
- Extract data from dynamic and interactive web sources, including JavaScript-rendered content
- Adapt scraping approaches to changing site behavior and minor site structure changes
- Enforce data quality through validation checks, cross-source consistency controls, formatting compliance, and systematic verification
- Scale scraping operations for large datasets using efficient batching or parallelization
- Monitor failures and maintain scraping stability
Requirements
What you’ll need- At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development
- Strong experience in Python web scraping, including BeautifulSoup, Selenium or similar, dynamic content (JS, AJAX, infinite scroll), and APIs via proxies
- Proven ability to extract data from complex structures, including hierarchies, archived pages, and inconsistent HTML
- Solid background in data cleaning, normalization, and validation, delivering structured datasets in CSV, JSON, or Google Sheets
- Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
- Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) in real workflows
- Hands-on experience with LLM frameworks such as LangChain or OpenRouter applied to automation tasks
- Strong attention to detail and commitment to data accuracy
- Self-directed work ethic and ability to troubleshoot independently
- English proficiency at Upper-intermediate (B2) or above
- Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
- GitHub link is a plus
Benefits
Comp & perks- Freelance opportunity
- Part-time remote work
- Estimated 10–20 hours per week during active project phases
- Up to $45 per hour equivalent, depending on level and pace of contribution