Engineering
·
Stockholm
·
Hybrid Remote
3x Machine Learning Engineer
We usually respond within three days
Job description:
GCP requirements:
- Familiar with BigQuery, can code SQL
- Familiar with Cloud composer / airflow
- Familiar with IAM, service account
- Familiar with Data catalog
- Understand Infrastructure as Code
- Good to have knowledge with Dataflow, K8s, Vertex AI pipeline, Kubeflow pipeline
Cloud diagnostic skills:
- Deep knowledge about python programing, practice OOP, following coding best practice, know how to use flake8, mypy, black, SonarQube and pre-commit
- Deep knowledge in unit test and end to end test, familiar with Pytest, fixtures, unittest etc
Unix:
- Familiar with popular Unix system, know how to install sth in docker.
- Familiar with shell
Git:
- Know how to create PR and solve merge conflict.
- Can create CI/CD pipeline in either Github Action or Azure DevOps using best practic
Docker:
- Deep understanding with Docke
DBT:
- Deep Knowledge in DBT, preferably with GCP
SQL:
- Deep knowledge of SQL
- Deep understanding with Data modeling, system design
Soft skills:
- Can do attitude, always try to solve sth alone first
- Problem solving, even if there is sth new that you don't know. You have a proper way to solve it. For example, knowing how to Google is always good.
- Communication skills with Stakeholders and tech ppl.
- Love code review and feedback
- Department
- Engineering
- Locations
- Stockholm
- Remote status
- Hybrid Remote
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Engineering
·
Stockholm
·
Hybrid Remote
3x Machine Learning Engineer
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