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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in web scraping, data extraction, and data processing, with a strong foundation in Python and experience in handling complex data structures. Proficient in ensuring data quality and accuracy through validation and normalization techniques while utilizing cloud infrastructure and automation tools.
Highest-signal resume keywords
Python Web ScrapingData Extraction WorkflowsData Cleaning and ValidationCloud Infrastructure (AWS)Automation with Docker
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 ExtractionScriptingData ProcessingData NormalizationDynamic Content HandlingAPIs via ProxiesAnti-Bot MechanismsData Structuring (CSV, JSON)Automation
Soft Skills
Attention to DetailSelf-Directed Work EthicTroubleshooting
Tools & Technologies
BeautifulSoupSeleniumApifyOpenRouterLangChainDocker
Industry Keywords
Data EngineeringAutomationSoftware DevelopmentTechnical FieldsDynamic 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
- 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
- Apply expertise in web scraping, data extraction, and data processing for the Tendem project
- Use Apify, OpenRouter, and other technologies alongside technical expertise
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, or Google Sheets
- Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
- Experience with cloud infrastructure such as AWS or equivalent and containerization with Docker
- 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 and ability to troubleshoot independently
- English proficiency at Upper-intermediate (B2) or above
- GitHub link is a plus
Benefits
Comp & perks- Part-time remote opportunity
- Freelance project engagement
- Estimated 10–20 hours per week during active phases
- Opportunity to work on innovative technology and AI development projects
