Data Engineer - Stockholm

IT & Telecom
This assignment is no longer available.
Familiar with Azure or GCP, Azure Databricks
Familiar with Python
Familiar with CI/CD
Good knowledge of Database and data modeling
Infrastructure knowledge, e.g., Docker, Terraform, Kubernetes, etc.

Pairing with Data Scientists and Machine Learning Engineers to develop machine learning software products that will be scaled out to the comprehensive network.
Design, develop, and maintain the large-scale data infrastructure required for the machine learning projects
Leverage the understanding of software architecture and software design patterns to write scalable, maintainable, well-designed, and future-proof code
Work in a cross-functional agile team of highly skilled engineers, data scientists, and business stakeholders to build the AI ecosystem

Required cloud certification: Azure or GCP

Remote: 50%

Start: 2024-03-18
End: 2024-07-31
Extension: N/A

ID: LEAD-4352
Agile
Python
System Architecture
Docker
Azure
Machine learning
Artificial intelligence
Kubernetes
CI/CD
Google Cloud Platform
Terraform
Databricks
Data Modeling
 Stockholm, Stockholms län
Duration
18/03/2024 - 31/07/2024