Build and maintain data pipelines that ensure data integrity and accessibility for analytics and
Support the development of scalable data infrastructure using Python and cloud-based technologies
Integrate and manage data from multiple sources, including internal systems and external APIs
Contribute to analytical deep dives with senior team members, translating findings into clear
Learn and apply data engineering best practices including data governance, security, and

🎯 Requirements

Completed or in-progress coursework in Computer Science, Data Engineering, or equivalent experience
Hands-on experience writing SQL for data analysis and working with relational database concepts
Familiarity with cloud platforms (AWS, GCP, or Azure) and a demonstrated interest in AI, LLMs, or
Exposure to software architecture concepts such as microservices, distributed systems, or
Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs

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