
Extracting Valuable Insights
4 days ago
This is a key role at our organization where we seek an experienced professional to work on automating data extraction processes from web platforms. The ideal candidate will have expertise in Python, Selenium, Pandas, SQL, and APIs, with the ability to design and implement efficient and scalable data scraping systems.
The primary goal of this position is to extract valuable insights from large datasets by developing and maintaining robust web scraping solutions. This involves working with various tools like Python, Selenium, BeautifulSoup, Scrapy, and Pandas for data scraping and processing.
- We are looking for a highly skilled professional who can design, develop, and maintain automated scripts to scrape dynamic websites, including handling JavaScript-driven content.
- The selected candidate will optimize scraping workflows to ensure data extraction is efficient, accurate, and scalable. They will also 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.
- Experience: 2-3 years of hands-on experience in web scraping and data extraction.
- 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.
- 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).
- 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.
We offer comprehensive e-commerce analytics and automation solutions to brands both in India and abroad.
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