GCP Machine Learning Engineer

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