
Senior Business Intelligence Developer
1 week ago
Key Position:
Data Architect
Required Experience:
Minimum 2 Years
Work Environment:
Remote Work Available
About the Role:
We are seeking an accomplished Data Scientist with exceptional Python expertise and hands-on experience in handling large datasets, data cleaning, analysis, and visualization. The ideal candidate should be capable of building efficient data pipelines, performing web scraping, and generating actionable insights through interactive dashboards and reports.
Responsibilities:
- Develop, test, and maintain Python scripts for efficient data collection and transformation.
- Design and implement web scraping solutions to extract structured and unstructured data from diverse sources.
- Perform data cleaning, preprocessing, and analysis to identify patterns, trends, and insights.
- Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
Requirements:
- Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent practical experience.
- Strong proficiency in Python and key data libraries (Pandas, NumPy, Scikit-learn).
- Hands-on experience with web scraping tools and libraries (Scrapy, BeautifulSoup, Selenium).
- Solid understanding of databases with strong SQL skills; exposure to PostgreSQL, MongoDB is a plus.
Preferred Qualifications:
- Exposure to cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure.
- Familiarity with REST APIs for data collection and integration.
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