Data Scientist Position

5 days ago

Alwar, Rajasthan, India beBeeDataEngineer Full time ₹ 12,00,000 - ₹ 15,00,000
Data Engineering Role

We are seeking a skilled Data Engineer to join our team. As a Data Engineer, you will have the opportunity to design and implement scalable data systems, ensuring high-quality data for business decision-making.

About the Job

This is a challenging role that requires strong technical skills, attention to detail, and excellent problem-solving abilities. You will be responsible for building and maintaining automated data extraction tools, integrating data from various sources, and ensuring data consistency and quality.

Key Responsibilities:
  • Data Scraping & Crawling: Develop multi-threaded crawlers capable of handling high-volume data collection without interruptions.
  • Data Parsing & Cleaning: Normalize scraped data, remove noise, and ensure consistency before passing to data pipelines.
  • 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.
  • Documentation & Maintenance: Keep scrapers updated when websites change, and document scraping logic for reproducibility.
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.
  • Basic knowledge of ETL processes and integration with data pipelines.
  • Exposure to graph databases (Neo4j) is a plus.
About Us

We're a dynamic team committed to solving real challenges that genuinely matter for our customers. We encourage autonomy and accountability—own your projects, move quickly, and shape the future of data-driven solutions.

We believe in cross-team collaboration, continuous learning, and experimentation. Our goal is to stay ahead of the curve and drive innovation in data engineering.

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