RESPONSIBILITIES

Manage end-to-end data annotation workflows on the annotation platform.
Configure and optimize data storage solutions to support annotation processes.
Develop dashboards to visualize database statistics and insights.
Design and implement data storage systems for medical datasets, including schema development and updates.
Build and maintain automated data flows and pipelines for efficient data processing.
Perform medical data analysis, data exports, queries, and validations to support the ML team.

REQUIREMENTS

Bachelor or Master degree in Computer Science or related field.
1+ years of relevant experience in data engineering.
Strong Python skills with experience in data-focused libraries (Pandas, NumPy, etc.).
Experience with SQL for querying and data manipulation.
Proven experience with image datasets cleaning and pre-processing for ML needs.
Experience with cloud storage solutions such as Google Cloud and AWS.
Experience in designing and managing scalable data storage solutions, including relational databases, e.g. PostgreSQL.

STRENGTHS THAT BENEFIT US

Experience with annotation platforms, specifically those designed for medical data labeling.
Industrial experience in building and maintaining ETL pipelines for processing large datasets, including imaging data.
Working with DICOM
Experience with relational databases (PostgreSQL)
Experience with Grafana in terms of dashboards creation
Experience with Docker and k8s
Experience with cloud deployment (AWS, GCloud).

WE OFFER:

Company stock options.
Fast career growth
Positive team culture
Being part of the decision-making process and impacting our product’s development.
Participation in conferences and publications.
Diverse and thrilling projects with American and European scientists and doctors

Junior Data Engineer