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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in data extraction workflows, web scraping, and data processing, with a strong focus on accuracy and reliability. Proficient in leveraging Python and associated libraries to handle complex data structures and dynamic web content.
Highest-signal resume keywords
Python Web ScrapingBeautifulSoupSeleniumData Cleaning and ValidationAWS or Equivalent
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 ExtractionWeb ScrapingAutomationData ProcessingDynamic Content HandlingData NormalizationAnti-Bot MechanismsLLM FrameworksContainerization with DockerStructured Datasets (CSV, JSON)
Soft Skills
Attention to DetailSelf-Directed Work EthicTroubleshooting
Tools & Technologies
Google SheetsGitHub
Industry Keywords
Data EngineeringComplex WebsitesDynamic Site StructuresData Quality StandardsTendem Project Workflows
Tech Stack
Tools & technologiesAWSCloudDockerJavaScriptPythonSelenium
About the role
Key responsibilities & impact- Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets
- Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements
- Ensure reliable extraction from dynamic and interactive web sources, adapting approaches for JavaScript-rendered content and changing site behavior
- Enforce data quality standards through validation checks, cross-source consistency controls, formatting specifications, and systematic verification before delivery
- Scale scraping operations for large datasets using efficient batching or parallelization
- Monitor failures and maintain stability against minor site structure changes
- Apply web scraping, data extraction, and data processing expertise to specialized Tendem project workflows
Requirements
What you’ll need- At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (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, and 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: Upper-intermediate (B2) or above (required)
- Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
- A link to GitHub is a plus
Benefits
Comp & perks- Freelance, part-time remote opportunity
- Estimated 10–20 hours per week during active project phases
- Opportunity to contribute to innovative technology projects and AI development efforts
