Data Engineer
November 29
Description
• Lead on data engineering from ingesting, through validation to persistence and maintenance • Define data requirements and validation procedures • Process data from various sources into a combined, curated database • Interrogate data for sensitive information • Build out automated pipelines to reduce and compliment human-in-the-loop requirements • Collaborate closely with machine learning scientists, software engineers and clinicians to deliver on new projects • Stay abreast of industry trends and standards in healthcare data • This is an excellent opportunity to join a rapidly growing start-up and make a real impact in the field of medical imaging and AI.
Requirements
• Proficient with Python, SQL, CSV, Excel • Experience working with Cloud Platforms, databases and APIs • Solid understanding of appropriate data formats and file types in data processing • Experience working both independently and as a part of a team environment • Experience using git or other version control software • Experience collecting requirements, writing proposals and managing projects • Degree in Computer Science, Engineering, or equivalent experience in science or engineering • Experience with GCP • Experience writing tests for data processing • Experience with healthcare or sensitive data • Experience working within a regulated environment • Familiarity with modern machine learning and AI methods
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