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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data extraction workflows, web scraping, and automation, with a strong focus on data quality and accuracy. Proficient in utilizing tools and technologies for efficient data collection and validation from complex web sources.
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 NormalizationDynamic Content HandlingAPIs via ProxiesData Structuring (CSV, JSON)Anti-Bot MechanismsHierarchical Data ExtractionValidation Checks
Soft Skills
Attention to DetailSelf-Directed Work EthicTroubleshooting
Tools & Technologies
BeautifulSoupSeleniumApifyOpenRouterLangChainDocker
Industry Keywords
Data EngineeringWeb ScrapingAutomationSoftware DevelopmentTechnical Fields
Tech Stack
Tools & technologiesAWSCloudDockerJavaScriptPythonSelenium
About the role
Key responsibilities & impact- Handle 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 compliance, 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 technical expertise and tools such as Apify, OpenRouter, and related technologies 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
- 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 in real workflows
- 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- Freelance, part-time remote opportunity
- Estimated workload of 10–20 hours per week during active project phases
- Potential to earn up to $40 per hour equivalent, depending on level and pace of contribution
- Access to innovative technology projects through the Mindrift platform
- Opportunity to contribute to AI technology development