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Data Engineer Python
hace 4 semanas
AgileEngine is one of the Inc. 5000 fastest-growing companies in the U and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed :)
What you will do- Web Scraping & Data Extraction: design, develop, and optimize web scraping strategies for large-scale data extraction from dynamic websites; identify and assess relevant data sources, ensuring alignment with business objectives; implement automated web scraping solutions using Python and libraries like Scrapy, BeautifulSoup, and Selenium; build resilient and adaptable scrapers that can handle website structure changes, rate limits, and anti-scraping measures.
- Data Processing & Integration: cleanse, validate, and transform extracted data to ensure accuracy, consistency, and usability; store and manage large volumes of scraped data using best-in-class storage solutions; develop ETL pipelines to integrate scraped data into data warehouses and analytics platforms; collaborate with cross-functional teams, including data scientists and engineers, to make scraped data actionable.
- Web Scraping & Optimization: optimize scraping procedures to improve efficiency, reliability, and scalability across multiple data sources; implement solutions for bypassing CAPTCHAs, rotating user agents, and managing proxy services; continuously monitor, troubleshoot, and maintain scraping scripts to minimize disruptions due to site changes.
- Compliance & Documentation: stay up to date with legal, ethical, and compliance considerations related to web scraping and data collection; ensure data collection processes align with best practices and regulatory requirements; maintain clear and detailed documentation of scraping methodologies, data pipelines, and best practices.
- 5+ years of hands-on experience in web scraping, data extraction, and integration.
- Strong proficiency in Python and web scraping frameworks (Scrapy, BeautifulSoup, Selenium).
- Experience working with large-scale data storage solutions and optimizing retrieval performance.
- Strong grasp of ETL processes, data pipelines, and data warehousing.
- Familiarity with APIs for data extraction and integration from public and restricted sources.
- Strong problem-solving skills with an ability to debug and adapt to changing web structures.
- Solid understanding of web scraping ethics, legal implications, and compliance guidelines.
- Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.
- Experience with cloud-based distributed scraping systems (AWS, GCP, Azure).
- Knowledge of big data frameworks and experience handling high-volume datasets within Snowflake.
- Familiarity with machine learning techniques for data extraction and natural language processing (NLP).
- Experience working with JSON, XML, CSV, and other structured data formats.
- Proficiency with version control systems (Git).
- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
The next steps of your journey will be shared via email within a few hours. Please check your inbox regularly and watch for updates from our Internal Applicant site, LaunchPod, which will guide you through the process.
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