This role will focus on building and optimizing data pipelines, ensuring data quality, and supporting analytics initiatives across the organization. The student will design, develop, and maintain ETL (Extract, Transform, Load) processes for large-scale datasets, work with cloud platforms (e.g., Azure, Hadoop) to manage data storage and processing, collaborate with data scientists and analysts to ensure data availability and integrity, implement data validation and monitoring tools to maintain high-quality datasets, and document workflows and contribute to best practices for data engineering.
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Career Level
Intern
Education Level
No Education Listed