
Senior Data Engineer
1 week ago
We are seeking an experienced Data Analyst to join our team as a Data Engineer. The successful candidate will possess strong technical skills in Python programming, data cleaning, analysis, and visualization.
- Main Responsibilities:
- Develop efficient data collection and transformation scripts using Python.
- Design web scraping solutions to extract structured and unstructured data from various sources.
- Analyze and preprocess large datasets to uncover trends and insights.
- Work with SQL and NoSQL databases for data storage and retrieval.
- Create interactive dashboards and visualizations to present business metrics and insights.
- Collaborate with cross-functional teams to develop data-driven solutions.
- Optimize data workflows and pipelines for performance and scalability.
- Document code and methodologies for clarity and maintainability.
- Required Skills & Qualifications:
- Bachelor's degree in Computer 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 PostgreSQL and MongoDB is desirable.
- Experience with data visualization libraries (Matplotlib, Seaborn, Plotly) and/or BI tools (Power BI, Tableau, Looker).
- Strong problem-solving ability, analytical mindset, and attention to detail.
- Experience using version control systems (Git).
We offer:
- A dynamic work environment that fosters collaboration and innovation.
- Opportunities for growth and professional development.
- A competitive salary and benefits package.
To succeed in this role, you should have:
- A passion for data analysis and engineering.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively with cross-functional teams.
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