FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in Python Web Scraping and Data Extraction, with a strong focus on ensuring data quality and reliability. Proficient in handling dynamic web content and scaling operations for large datasets using cloud infrastructure and containerization.
Highest-signal resume keywords
Python Web ScrapingBeautifulSoupSeleniumData Cleaning and ValidationAWS
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 ExtractionData ProcessingDynamic Content HandlingData NormalizationAnti-Bot MechanismsData StructuringBatching and ParallelizationAPIs via ProxiesLLM FrameworksGitHub
Soft Skills
Attention to DetailSelf-Directed Work EthicTroubleshooting
Tools & Technologies
DockerGoogle SheetsCSVJSONCloud Infrastructure
Industry Keywords
Data EngineeringWeb ScrapingAutomationSoftware DevelopmentTechnical Fields
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, adapting 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
- Apply Python, web scraping, data extraction, and data processing expertise to 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, 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 (required)
- A link to GitHub is a plus
- Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
Benefits
Comp & perks- Freelance, part-time remote opportunity
- Estimated workload of 10–20 hours per week during active project phases
