We're looking for a highly motivated Data Engineer to join a cutting-edge AI and data innovation center focused on transforming healthcare through data-driven insights. This is a unique opportunity to work with large-scale clinical data and contribute to meaningful projects like decision-support tools, predictive models, image processing, and NLP solutions.
Responsibilities
- Extract, validate, and profile data to maximize its quality and usability
- Design, implement, monitor, and maintain data pipelines and ETL processes across multiple sources
- Collaborate with researchers, domain experts, and data scientists to understand data needs and deliver scalable solutions
- Lead data development lifecycle including planning, QA, and ongoing maintenance
Requirements
- 3+ years of hands-on experience as a Data Engineer
- Strong Python scripting skills – major advantage
- Proficiency with data formats and databases: SQL, NoSQL, Parquet, JSON – major advantage
- Experience with GIT workflows and development environments – advantage
- Experience designing pipelines in cloud platforms, especially AWS – major advantage
- Background working with real-world clinical or healthcare data – significant advantage
- Bachelor’s degree in Industrial Engineering, Information Systems, or equivalent – or a proven ability to shine without one
- Passion for data, curiosity for complex problems, and a strong team spirit
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