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DeepCube, the AI division of Nano Dimension, is an innovative deep learning and AI solutions research and development group.DeepCube is researching and developing a cutting-edge AI engine based on deep learning for the domain of Additive Manufacturing.
As a data engineer, you will design, develop, and maintain various data systems and pipelines on a large scale, both on-premises and cloud-based environments, using various tools to advance the scientific front of AI.
Your work will be done both solo and in collaboration with other team members and deep learning engineers.
We are looking for someone who is versatile, displays leadership qualities, and is passionate about taking on new challenges.
Responsibilities:
Designing, maintaining, and optimizing data infrastructure for data collection, management, transformation, and access.
Creating pipelines that convert raw data into usable formats for data scientists and other data consumers to utilize.
Collaborate with data scientists to build machine learning and analytics infrastructure from research to deployment.
Requirements:
Requirements:
Bachelor's degree in exact sciences
At least three years of experience as a Data Engineer
Experience with large data volumes (TBs)
Solid experience with software development principles in Python
Excellent team player with strong communication skills
Well-organized, thorough, and able to multitask
Hands-on, get it done, and result oriented
Preferred qualifications:
Experience with IoT data
Experience with DWH solutions (AWS Athena, Presto, Hive)
Experience with RDBMS solutions (Postgres)
Group:
DeepCube
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