Junior Data Engineer

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