
Data Solutions Specialist
1 day ago
We're seeking a skilled Data Engineer to develop and maintain efficient data collection and transformation systems.
The ideal candidate will have strong proficiency in Python and key data libraries, including Pandas, NumPy, and Scikit-learn.
Key Responsibilities:
- Develop and test data workflows using Python scripts.
- Implement web scraping solutions to extract structured and unstructured data from various sources.
- Clean, preprocess, and analyze data to identify patterns and trends.
- Work with SQL and NoSQL databases for efficient data storage and retrieval.
- Create interactive dashboards and visualizations to present metrics and business insights.
- Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
- Optimize existing data workflows for performance and scalability.
- Document code, workflows, and methodologies for clarity and maintainability.
Required Skills & Qualifications:
- Bachelor's degree in Computer Science, Data Science, or a related field.
- 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 and MongoDB is a plus.
- Experience with data visualization libraries (Matplotlib, Seaborn, Plotly) and/or BI tools (Power BI, Tableau, Looker).
- Strong problem-solving ability, analytical mindset, and keen attention to detail.
- Experience using version control systems (Git).
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