Number of resources requested: 3
Profile/Role: Machine Learning Engineer
Period from: 2025-01-01
Period to: 2025-12-31
Office: Stockholm/Hybrid
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 practice
Docker:
- Deep understanding with Docker
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
Om oss
Senterprise Consulting är ett eget affärsområde inom Senterprise Sverige och är en ledande oberoende förmedlare av frilansande konsulter.
Genom aktiv headhunting och search och en omfattande teknisk förståelse hjälper Senterprise Sverige de främsta arbetsgivarna att hitta de mest lämpade kandidaterna för både anställning och konsultbehov.
Läs vidare på www.senterprise.se
