Innovative Web Data Specialist
2 days ago
We're seeking a passionate and driven expert to join our tech-driven startup dedicated to solving fraud detection and prevention challenges.
This role is ideal for someone eager to own the entire data collection process, who thrives on early-stage challenges, and loves building innovative, scalable solutions from day zero.
Key Responsibilities:
- Data Collection & Integration: Design and maintain automated systems to extract structured and unstructured data from websites, APIs, and public datasets.
- Scalable Systems: Develop multi-threaded, distributed crawlers capable of handling high-volume data collection without interruptions.
- Data Normalization & Cleaning: Normalize scraped data, remove noise, and ensure consistency before passing to data pipelines.
- Anti-bot & Evasion Tactics: Implement proxy rotation, captcha solving, and request throttling techniques to handle scraping restrictions.
- Pipeline Integration: Deliver clean, structured datasets into NoSQL stores and ETL pipelines for further enrichment and graph-based storage.
- Data Quality & Validation: Ensure data accuracy, deduplicate records, and maintain a trust scoring system for data confidence.
- Documentation & Maintenance: Keep systems updated when websites change, and document logic for reproducibility.
- Data Quality & Validation: Ensure data accuracy, deduplicate records, and maintain a trust scoring system for data confidence.
- Pipeline Integration: Deliver clean, structured datasets into NoSQL stores and ETL pipelines for further enrichment and graph-based storage.
- Anti-bot & Evasion Tactics: Implement proxy rotation, captcha solving, and request throttling techniques to handle scraping restrictions.
- Data Normalization & Cleaning: Normalize scraped data, remove noise, and ensure consistency before passing to data pipelines.
- Scalable Systems: Develop multi-threaded, distributed crawlers capable of handling high-volume data collection without interruptions.
Requirements:
- At least 2 years of experience in web scraping, crawling, or data collection.
- Strong proficiency in Python (libraries like BeautifulSoup, Scrapy, Selenium, Playwright, Requests).
- Familiarity with NoSQL databases (MongoDB, DynamoDB) and data serialization formats (JSON, CSV, Parquet).
- Experience in handling large-scale scraping with proxy management and rate-limiting.
- Basic knowledge of ETL processes and integration with data pipelines.
- Exposure to graph databases (Neo4j) is a plus.
What We Offer:
- A dynamic work environment focused on problem-solving innovation.
- Rapid action and ownership—autonomy and accountability.
- Cross-team collaboration ensures alignment, sparks innovation, and drives progress.
- Continuous learning and growth opportunities.
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