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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, ensuring data accuracy and reliability while utilizing advanced web scraping techniques and tools. Proficient in handling complex data structures and maintaining scraping stability across dynamic web sources.
Highest-signal resume keywords
Python Web ScrapingBeautifulSoupSeleniumData Cleaning and ValidationCloud Infrastructure (AWS)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringWeb ScrapingAutomationDynamic Content ExtractionData NormalizationData ValidationHandling Anti-Bot MechanismsContainerization (Docker)LLM Frameworks (LangChain)APIs via Proxies
Soft Skills
Attention to DetailSelf-Directed Work EthicTroubleshooting
Tools & Technologies
ApifyOpenRouterGitHub
Industry Keywords
Structured DatasetsCSVJSONGoogle SheetsDynamic Site Structures
Tech Stack
Tools & technologiesAWSCloudDockerJavaScriptPythonSelenium
About the role
Key responsibilities & impact- Own end-to-end data extraction workflows across complex websites
- Ensure complete coverage, accuracy, and reliable delivery of structured datasets
- Use tools and custom workflows to accelerate data collection, validation, and task execution
- Extract data reliably 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 specifications, and systematic verification
- Scale scraping operations for large datasets using efficient batching or parallelization
- Monitor failures and maintain scraping stability
- Apply tools such as Apify, OpenRouter, and other technologies to web extraction and processing workflows
Requirements
What you’ll need- At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required)
- English proficiency: Upper-intermediate (B2) or above (required)
- 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
- 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
- Flexible project-based workload (not guaranteed)
- Opportunity to contribute to innovative technology and AI development projects