Data Engineer

4 days ago

Nagpur, Maharashtra, India beBeeData Full time ₹ 9,00,000 - ₹ 12,00,000

Data Engineer - Scalable Solutions Specialist

We are seeking a highly skilled Data Engineer to join our team and help build scalable data solutions. As we develop our technology platform from scratch, you will have the opportunity to shape our technical vision and architecture.

This role is ideal for someone who thrives on early-stage challenges, loves building innovative solutions, and owns the entire tech stack.

Key Responsibilities:

  • Data Scraping & Crawling: Develop automated scrapers to extract data from websites, APIs, and public datasets while maintaining scalability and avoiding interruptions.
  • Data Parsing & Cleaning: Normalize scraped data, remove noise, and ensure consistency before passing it 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.

Required Skills and Qualifications:

  • 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.

Benefits:

You will work in a collaborative environment where talented individuals can do their best work. We value transparency, individual ownership, and dedication to delivering high-quality solutions.

Our Approach:

We take a customer-centric approach to deliver effective solutions that meet business needs. We prioritize innovation, scalability, and reliability in our work.

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