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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in data extraction and web scraping, with a strong focus on Python and tools like BeautifulSoup and Selenium. Proven ability to ensure data quality and accuracy while managing complex datasets and dynamic web structures.
Highest-signal resume keywords
Python Web ScrapingData Extraction ExpertiseCloud Infrastructure (AWS)Containerization (Docker)Data Cleaning and Validation
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 EngineeringAutomationData ProcessingDynamic Content HandlingData NormalizationData ValidationAnti-Bot MechanismsLLM FrameworksAPIs via Proxies
Soft Skills
Attention to DetailSelf-Directed Work EthicTroubleshooting Ability
Tools & Technologies
BeautifulSoupSeleniumAWSDockerLangChainOpenRouter
Industry Keywords
Data Quality StandardsStructured DatasetsDynamic Web SourcesComplex StructuresCSVJSONGoogle Sheets
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 the Tendem project for real-world applications
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 (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
- Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
- Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, 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 (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 (required)
Benefits
Comp & perks- Freelance opportunity
- Part-time remote work
- Estimated workload of 10–20 hours per week during active project phases