
Senior Data Analyst
2 days ago
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.
Required Skills & Qualifications:
- Experience: 2-3 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.
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