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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 focus on ensuring data quality and accuracy. Proficient in leveraging tools and technologies for efficient data workflows and handling complex web structures.
Highest-signal resume keywords
Python Web ScrapingData ExtractionData Cleaning and ValidationCloud Infrastructure (AWS)Containerization (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 ExtractionData ProcessingData CleaningData ValidationDynamic Content HandlingAPIs via ProxiesData NormalizationAnti-Bot MechanismsComplex Structure Extraction
Soft Skills
Attention to DetailSelf-Directed Work EthicTroubleshooting
Tools & Technologies
BeautifulSoupSeleniumApifyOpenRouterLangChainDocker
Industry Keywords
Data EngineeringAutomationSoftware DevelopmentStructured DatasetsGitHub
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 to 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 expertise in web scraping, data extraction, and data processing for the Tendem project
- Use tools such as Apify, OpenRouter, and other technologies
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 (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
- 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- Part-time remote opportunity
- Freelance role
- Flexible project workload estimated at 10–20 hours per week during active phases
