
Chief Data Architect
7 days ago
As a skilled Data Engineer, you will be responsible for building and maintaining scalable data pipelines, web scraping systems, and integrating them with our data infrastructure.
Key Responsibilities:- Design and implement efficient data pipelines using Python and popular libraries such as Scrapy and BeautifulSoup.
- Develop and maintain automated scrapers to extract structured and unstructured data from websites, APIs, and public datasets.
- Integrate scraped data into NoSQL stores and ETL workflows for further enrichment and graph-based storage.
- Collaborate with the engineering team to design and implement data processing workflows.
- Ensure data accuracy, deduplicate records, and maintain a trust scoring system for data confidence.
Requirements:
- Experience in web scraping, crawling, or data collection.
- Strong proficiency in Python (libraries like BeautifulSoup, Scrapy, Selenium, Playwright, Requests).
- Familiarity with NoSQL databases and data serialization formats.
- Experience in handling large-scale scraping with proxy management and rate-limiting.
- Basic knowledge of ETL processes and integration with data pipelines.
What We Offer:
- Opportunity to work on cutting-edge technology and innovation projects.
- A dynamic and collaborative work environment.
- Professional growth and development opportunities.
- A competitive salary and benefits package.
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