
Chief Data Architect
1 week ago
Building Scalable Data Solutions
Gala Intelligence is seeking a driven individual to help build cutting-edge products for fraud detection and prevention.
This role is ideal for someone who thrives on early-stage challenges and loves building innovative, scalable solutions from day zero.
Key Responsibilities:
- Data Extraction & Pipelining: Build and maintain automated systems to extract structured and unstructured data from websites, APIs, and public datasets.
- Scalable Data Systems: Develop multi-threaded, distributed crawlers capable of handling high-volume data collection without interruptions.
- Data Normalization & Quality: Normalize scraped data, remove noise, and ensure consistency before passing to data pipelines.
- Anti-bot & Evasion Techniques: Implement proxy rotation, captcha solving, and request throttling techniques to handle scraping restrictions.
- Integration with NoSQL Stores: Deliver clean, structured datasets into MongoDB or DynamoDB stores for further enrichment and graph-based storage.
- Documentation & Maintenance: Keep data extraction systems updated when web structures change, and document pipeline logic for reproducibility.
- Integration with NoSQL Stores: Deliver clean, structured datasets into MongoDB or DynamoDB stores for further enrichment and graph-based storage.
- Anti-bot & Evasion Techniques: Implement proxy rotation, captcha solving, and request throttling techniques to handle scraping restrictions.
- Data Normalization & Quality: Normalize scraped data, remove noise, and ensure consistency before passing to data pipelines.
- Scalable Data Systems: Develop multi-threaded, distributed crawlers capable of handling high-volume data collection without interruptions.
You Will Thrive in This Role If:
Have 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.
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, early-stage startup environment.
About Us & Our Culture:
We value transparency, collaboration, and individual ownership, creating an environment where talented people can do their best work.
We encourage autonomy and accountability—own your projects, move quickly, and shape the future of Gala Intelligence.
Cross-team collaboration ensures alignment, sparks innovation, and drives us forward together.
Continuous improvement, experimentation, and learning are core to our success.
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