Senior Data Platform Engineer
3 weeks ago
About the Role:
We are seeking a Senior Data Platform Engineer to join our team at Burns Sheehan. As a key member of our data engineering team, you will be responsible for designing, maintaining, and scaling our data platform to support both our product and machine learning teams.
Key Responsibilities:
* Design and maintain a scalable data platform that serves both the product team and machine learning team
* Build and manage a robust relational database system that supports efficient storage, retrieval, and structuring of large-scale datasets
* Collaborate with the machine learning team to design data stores optimized for feature extraction and data processing, ensuring seamless access to data
* Utilize AWS services to ensure cloud scalability, data storage, and compute optimization
Requirements:
* Experience designing and managing large-scale data platforms
* Experience with relational databases such as PostgreSQL or MySQL
* Experience with NoSQL databases for handling unstructured data and scaling database operations
* AWS knowledge
* Solid understanding of data architectures, ETL pipelines, and database design principles
* Experience with Python & Python libraries such as Pandas or Spark
* Experience with backend development frameworks for building RESTful APIs such as Django, and FastAPI
What You'll Get:
* Opportunity to work on cutting-edge AI and data-driven technologies
* Collaboration with diverse teams of product developers, engineers, and machine learning specialists in a dynamic environment
* Professional growth in a rapidly expanding company at the intersection of healthcare and AI
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