
Building Scalable Solutions
7 days ago
We are seeking a skilled Data Engineer to join our team and shape our technology vision from the ground up.
This role is ideal for someone who thrives on early-stage challenges and loves building innovative, scalable solutions. You will own the entire tech stack, working closely with cross-functional teams to develop cutting-edge products that empower consumers and businesses.
Key Responsibilities:
- Data Extraction: Build and maintain automated scrapers to extract structured and unstructured data from websites, APIs, and public datasets.
- Data Normalization: Normalize scraped data, remove noise, and ensure consistency before passing to data pipelines.
- Pipeline Integration: Deliver clean, structured datasets into NoSQL stores and ETL pipelines for further enrichment and graph-based storage.
- Data Validation: Ensure data accuracy, deduplicate records, and maintain a trust scoring system for data confidence.
Requirements:
- 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.
Benefits:
- Rapid Action & Ownership: We encourage autonomy and accountability—own your projects, move quickly, and drive innovation.
- Cross-Functional Collaboration: Work closely with teams to deliver results-oriented solutions that exceed expectations.
- Problem-Driven Innovation: We're deeply committed to solving real challenges that genuinely matter for our customers.
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