
Senior Data Architect Position Available
4 days ago
We are seeking a skilled Data Engineer with expertise in Python and hands-on experience in handling large datasets, data cleaning, analysis, and visualization. The successful candidate will have strong proficiency in Python and key data libraries (Pandas, NumPy, Scikit-learn). Experience with web scraping tools and libraries (Scrapy, BeautifulSoup, Selenium) is also highly desirable.
Key Responsibilities:- Develop efficient Python scripts for data collection and transformation.
- Design 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 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.
- 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).
- 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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