
Building Scalable Solutions
22 hours ago
We are seeking a skilled Data Engineer to help build our technology platform from the ground up. As a key team member, you will shape our tech vision, architecture, and engineering culture while contributing to foundational development.
This role is ideal for someone eager to own the entire tech stack and thrive in an early-stage environment. You will be responsible for building innovative, scalable solutions and establishing best practices.
Key Responsibilities:
- Web Scraping & Crawling
- Design and maintain automated scrapers to extract data from websites, APIs, and public datasets.
- Create multi-threaded, distributed crawlers for high-volume data collection without interruptions.
- Parsing and Cleaning
- Normalize scraped data, remove noise, and ensure consistency before passing it to data pipelines.
- 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.
- Maintenance and Documentation
- Keep scrapers updated when websites change and document scraping logic for reproducibility.
- Maintenance and Documentation
- Ensure data accuracy, deduplicate records, and maintain a trust scoring system for data confidence.
- Data Quality & Validation
- Deliver clean, structured datasets into NoSQL stores and ETL pipelines for further enrichment and graph-based storage.
- Integration with Pipelines
- Implement proxy rotation, captcha solving, and request throttling techniques to handle scraping restrictions.
- Evasion Tactics
- Normalize scraped data, remove noise, and ensure consistency before passing it to data pipelines.
- Parsing and Cleaning
- Create multi-threaded, distributed crawlers for high-volume data collection without interruptions.
- Design and maintain automated scrapers to extract data from websites, APIs, and public datasets.
Requirements:
You will need:
Technical Skills:
- 2+ years of experience in web scraping, crawling, or data collection.
- Strong proficiency in Python (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 with a focus on accuracy and reliability of collected data.
- Strong problem-solving skills, particularly in adapting scrapers to evolving web structures.
- A curious mindset with a drive to discover new data sources.
- Comfortable working in a fast-paced, early-stage startup environment.
About Us:
Our company values transparency, collaboration, and individual ownership, creating an environment where talented people can do their best work.
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