
Innovative Data Architect
4 days ago
We are looking for an experienced and skilled professional to lead our data engineering efforts. The ideal candidate will have a strong background in software development, particularly with Python programming language.
This role is ideal for someone who has experience in building scalable solutions, handling large datasets, and developing innovative systems from scratch.
Key Responsibilities:- Web Scraping & Crawling: Develop automated scrapers to extract structured and unstructured data from websites, APIs, and public datasets.
- Scalable Scraping Systems: Design and implement multi-threaded, distributed crawlers capable of handling high-volume data collection without interruptions.
- Data Parsing & 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.
- Integration with Pipelines: 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 scrapers updated when websites change, and document scraping logic for reproducibility.
- 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.
- We are united by a single critical mission - stopping fraud before it impacts businesses.
- Curiosity, innovation, and proactive action define our approach.
- We value transparency, collaboration, and individual ownership, creating an environment where talented people can do their best work.
- Data Quality & Validation: Ensure data accuracy, deduplicate records, and maintain a trust scoring system for data confidence.
- Integration with Pipelines: 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 Parsing & Cleaning: Normalize scraped data, remove noise, and ensure consistency before passing to data pipelines.
- Scalable Scraping Systems: Design and implement multi-threaded, distributed crawlers capable of handling high-volume data collection without interruptions.
At Gala Intelligence, we're dedicated to solving one of the most pressing business challenges - fraud detection and prevention. We're building cutting-edge, real-time products designed to empower consumers and businesses to stay ahead of fraudsters, leveraging innovative technology and deep domain expertise.
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