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1 week ago
We are seeking an experienced Data Engineer to drive our data collection and processing initiatives.
Responsibilities- Data Ingestion: Design and develop automated systems to extract structured and unstructured data from various sources.
- Data Processing: Normalize ingested data, remove noise, and ensure consistency before passing to data pipelines.
- Scraping Techniques: Implement proxy rotation, captcha solving, and request throttling techniques to handle scraping restrictions.
- Pipeline Integration: Deliver clean, structured datasets into data stores and ETL pipelines for further enrichment and storage.
- Data Quality Management: Ensure data accuracy, deduplicate records, and maintain a trust scoring system for data confidence.
- 3+ 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 data ingestion with proxy management and rate-limiting.
- Basic knowledge of ETL processes and integration with data pipelines.
- Exposure to graph databases (Neo4j) is a plus.
This role involves working on cutting-edge data engineering projects to drive business growth through data-driven insights.
We value collaboration, individual ownership, and transparency in our work environment.
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