
Senior Data Architect
1 day ago
Job Overview
We are seeking an experienced Data Architect to lead the development of data pipelines, web scraping solutions, and data visualization tools.
The ideal candidate will have strong expertise in Python, data analysis, and database management, with hands-on experience in handling large datasets and building efficient data workflows.
Responsibilities:
- Design and implement data pipelines for collecting and transforming data from various sources.
- Develop and maintain web scraping solutions using Scrapy, BeautifulSoup, and Selenium.
- 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.
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, Pandas, NumPy, and Scikit-learn.
- Hands-on experience with web scraping tools and libraries.
- Solid understanding of databases with strong SQL skills; exposure to PostgreSQL and MongoDB is a plus.
- Experience with data visualization libraries and/or BI tools.
- Strong problem-solving ability, analytical mindset, and keen attention to detail.
- Experience using version control systems (Git).
What We Offer
We provide a dynamic and supportive work environment that encourages collaboration, innovation, and continuous learning. Our team is passionate about delivering high-quality results and making a meaningful impact on our organization.
How to Apply
Interested candidates should submit their resume and cover letter explaining why they are the best fit for this role. We look forward to reviewing your application
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