
Data Transformation Specialist
7 hours ago
Data is the lifeblood of any organization, and as a seasoned Data Engineer, you will be responsible for extracting, processing, and transforming large datasets into actionable insights.
- Design and implement scalable data pipelines to collect, process, and store complex data from various sources.
- Develop efficient Python scripts to analyze, visualize, and present key findings to stakeholders.
- Collaborate with cross-functional teams to integrate data-driven solutions and drive business growth.
- Bachelor's degree in Computer Science, Data Science, or related field.
- Minimum 2 years of professional experience as a Data Engineer or similar role.
- Strong proficiency in Python, Pandas, NumPy, and Scikit-learn.
- Experience with web scraping tools and databases.
The ideal candidate will have a solid understanding of data engineering principles and hands-on experience in handling large datasets, data cleaning, analysis, and visualization. You will be responsible for optimizing existing data workflows and pipelines for performance and scalability, and documenting code, workflows, and methodologies for clarity and maintainability.
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Azure Cloud Data Transformation Expert
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