Data Engineer

22 hours ago

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mediaire

WebsiteLinkedInAll Job Openings

Radiology • Imaging Biomarker • Brain Volumetry • Artificial Intelligence • Quantitative Imaging

11 - 50 employees

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

☁️ SaaS

💰 Seed Round on 2020-12

Description

• Work closely with AI engineers and software engineers to build efficient databases of annotated MRI data sets compliant with healthcare regulations • Implement and maintain efficient data pipelines • Set up and maintain monitoring systems for data pipelines • Ensure high quality of data sets • Work with on-prem installations on customers' linux servers

Requirements

• 3+ years of work experience (industry or academia) in a data engineering role (less experience is also acceptable for junior candidates) • Proficiency in ETL and/or ELT processes • Masters or Ph.D. in Computer Science or a related field • You know how to handle large data sets in different formats and from heterogeneous sources • Experience with relational and non-relational databases or data lakes • Experience with handling medical images or other 3D image data sets, or a passion for it • Experience with docker and with cloud computing (e.g. on AWS) • You have experience working with common task management frameworks like Airflow or Luigi • Experience with monitoring tools and dashboards such as Prometheus, Nagios, Grafana or Metabase • Strong coding skills in Python • Solid general engineering skills: You know about version control, unit testing and continuous integration, and you value best practices and good code quality • You have experience with Linux and Bash and are comfortable writing and running small scripts that can handle data exporting jobs • Good communication skills and fluent in English • Nice to have: Full-stack and particular frontend skills (Javascript/Typescript, maybe even in the context of an image annotation tool) • Experience with DICOM and NIFTI file formats • Good IT / system administration knowledge, including remote access methods like VPN, SSH or TeamViewer and secure data transfer protocols like SCP • Understanding of machine learning algorithms