Data Extraction Analyst

11 hours ago

Vijayawada, Andhra Pradesh, India beBeeDataMining Full time ₹ 15,00,000 - ₹ 20,00,000

Transformative Data Mining Expert Wanted

A key role in our organization requires exceptional expertise in automating data extraction processes from web platforms.

About the Position

We are seeking an accomplished Data Mining Specialist with experience in Python, Selenium, Pandas, SQL, and APIs. The ideal candidate will have the ability to design and implement efficient and scalable data scraping systems.

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.

The successful candidate will have excellent problem-solving skills with attention to detail, strong proficiency in Python, and experience with web scraping frameworks and libraries like Selenium, Scrapy, and Requests.

Required Skills:
  • Strong proficiency in Python programming.
  • 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.

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