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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data extraction workflows, ensuring accuracy and reliability while leveraging tools for efficient data collection and validation. Proficient in handling complex web structures and dynamic content, with a strong foundation in Python and cloud infrastructure.
Highest-signal resume keywords
Python Web ScrapingData Extraction WorkflowsDynamic Content HandlingCloud Infrastructure (AWS)Data Validation and Normalization
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 ScrapingScriptingData CleaningAutomationData NormalizationAPIs via ProxiesBeautifulSoupSeleniumContainerization (Docker)LLM Frameworks
Soft Skills
Attention to DetailSelf-Directed Work EthicTroubleshooting
Tools & Technologies
ApifyOpenRouterGoogle SheetsCSVJSON
Industry Keywords
Data EngineeringWeb ScrapingAutomationSoftware DevelopmentDynamic 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
- Leverage available tools and custom workflows to accelerate data collection, validation, and task execution
- Ensure reliable extraction from dynamic and interactive web sources
- Adapt approaches to JavaScript-rendered content and changing site behavior
- 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 stability against minor site structure changes
- Use tools such as Apify, OpenRouter, and other technologies for web extraction and processing
Requirements
What you’ll need- At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development
- Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
- Strong technical foundation and practical experience with scripting, automation, and data extraction workflows
- 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, and Google Sheets
- Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
- Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
- Hands-on experience with LLM frameworks such as LangChain, OpenRouter, or similar applied to automation tasks
- Strong attention to detail and commitment to data accuracy
- Self-directed work ethic with ability to troubleshoot independently
- English proficiency: Upper-intermediate (B2) or above
- A link to GitHub is a plus
Benefits
Comp & perks- Freelance project opportunity
- Part-time schedule estimated at 10–20 hours per week during active project phases
- Remote work
- Compensation up to $40 per hour equivalent, depending on level and pace of contribution