
Data Professional
4 days ago
About the Position:
- We are seeking a skilled data expert with strong technical skills and experience in handling large datasets, data cleaning, analysis, and visualization.
- The ideal candidate must be able to design, implement, and maintain efficient data pipelines, perform web scraping, and generate actionable insights through dashboards and reports.
Main Responsibilities:
- Develop, test, and maintain efficient scripts for 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.
- Work with SQL and NoSQL databases for efficient data storage, retrieval, and manipulation.
- Create and maintain interactive dashboards and visualizations to present metrics and business insights to stakeholders.
- Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
- Optimize existing data workflows and pipelines for performance and scalability.
- Document code, workflows, and methodologies for clarity and maintainability.
Requirements:
- Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent practical experience.
- Minimum 2 years of professional experience as a Data Engineer or in a similar role.
- 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 databases like PostgreSQL, 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).
PREFERRED QUALIFICATIONS:
- Exposure to cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure.
- Familiarity with REST APIs for data collection and integration.
- Understanding of data warehousing concepts.
- Prior experience working in an Agile development environment.
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