Business Intelligence Specialist

3 days ago

Hyderabad, Telangana, India beBeeData Full time ₹ 10,00,000 - ₹ 15,00,000

Job Opportunity

We are seeking a skilled Data Scientist with expertise in automating data extraction processes from web platforms.

Key Responsibilities:
  • Design, develop, and maintain robust web scraping solutions to extract structured and unstructured data from various websites and APIs.
  • Use tools like Python, Selenium, BeautifulSoup, Scrapy, and Pandas for data scraping and processing.
  • Build and manage automated scripts to scrape dynamic websites, including handling JavaScript-driven content.
  • Optimize scraping workflows to ensure data extraction is efficient, accurate, and scalable.
  • Work with APIs to gather and integrate data, ensuring proper rate limits and authentication handling.
  • Clean, preprocess, and store extracted data in databases (SQL) or cloud-based systems.
  • Collaborate with data analysts and other stakeholders to provide required data for further analysis and reporting.
  • Debug and troubleshoot issues in scraping pipelines and scripts.
  • Ensure compliance with ethical data scraping standards, including legal considerations like website terms of use and robots.txt policies.

Requirements:

  • Experience: 1-3 years of hands-on experience in web scraping and data extraction.
  • Technical Skills:
  • Strong proficiency in Python.
  • Experience with web scraping frameworks and libraries like Selenium, Scrapy, BeautifulSoup, and Requests.
  • Experience with data manipulation libraries like Pandas.
  • Familiarity with API integration (REST, GraphQL, etc.).
  • Proficiency in SQL for data querying, database design, and managing large datasets.
  • Knowledge of JavaScript and front-end technologies to work with dynamic web pages.
  • Experience with version control (Git) and collaborative development environments.
  • Other Skills:
  • Problem-solving skills with attention to detail.
  • Ability to write clean, maintainable code and automate workflows.
  • Good understanding of HTTP, HTML, CSS, and JavaScript.
  • Familiarity with cloud services (AWS, Azure, GCP) is a plus.

Nice to Have:

  • Experience with cloud-based scraping tools or services (e.g., AWS Lambda, Google Cloud Functions).
  • Familiarity with distributed scraping and data pipeline management.
  • Experience with large-scale data collection and storage systems.
  • Knowledge of ethical and legal issues related to web scraping.

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