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Data Engineer
3 weeks ago
Job Description
- Ensure analytics infrastructure and associated systems meet business requirements and industry best practices.
- Gather and process raw data from multiple disparate sources (including writing scripts, calling APIs, write SQL queries, etc.) into a form suitable for analysis.
- Gathers, analyzes, documents, and translates application requirements into data models.
- Builds data models.
- Enables big data, batch and real-time analytical processing solutions leveraging emerging technologies.
- Use python to design and execute data engineering pipelines.
- Work with researchers to understand the requirements for data provisioning and then provision the data in a secure and governed fashion.
Qualifications
- Bachelor's degree in computer science, Mathematics, Information Systems, Engineering, Physical Sciences, Life Sciences or a closely related field or equivalent related professional experience is required. Additional certifications are preferred.
- Seven or more (7+) years' experience designing, implementing, and supporting systems in a large-scale analytics or data engineering environment containing many disparate application systems and multiple data sources.
- Proficiency in python is required.
- Experience with imaging informatics is a distinct plus, including the ability to process DICOM image data.
- Knowledge of Epic (Chronicles/ Clarity/ Caboodle) is a plus.
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