
Innovative Data Solutions Specialist
22 hours ago
We are seeking an ambitious and driven professional to join our team as a data engineer at the forefront of building cutting-edge technology.
This role is ideal for someone eager to own the entire tech stack, who thrives on early-stage challenges, and loves building innovative, scalable solutions from day zero.
Key Responsibilities- Web Scraping & Crawling: Develop automated scrapers to extract structured and unstructured data from websites, APIs, and public datasets.
- Scalable Scraping Systems: Build 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.Requirements
- Technical Skills:
- 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.
- Soft Skills:
- Detail-oriented, ensuring accuracy and reliability of collected data.
- Strong problem-solving skills, particularly in adapting scrapers to evolving web structures.
- Curious mindset with a drive to discover new data sources.
- Comfortable working in a fast-paced environment.
- Technical Skills:
- Documentation & Maintenance: Keep scrapers updated when websites change, and document scraping logic for reproducibility.Requirements
- 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: Build multi-threaded, distributed crawlers capable of handling high-volume data collection without interruptions.
Gala Intelligence is dedicated to solving one of the most pressing business challenges - fraud detection and prevention. We're building real-time products designed to empower consumers and businesses to stay ahead of fraudsters, leveraging innovative technology and deep domain expertise.
Culture and Values
- Problem-Driven Innovation: We're committed to solving real challenges that genuinely matter for our customers.
- Rapid Action & Ownership: We encourage autonomy and accountability—own your projects, move quickly, and shape the future of our company.
- Collaborative Excellence: Cross-team collaboration ensures alignment, sparks innovation, and drives us forward together.
- Continuous Learning: Fraud evolves rapidly, and so do we. Continuous improvement, experimentation, and learning are core to our success.
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