Data Engineer

Build and maintain data pipelines in Airflow.
- Build data audits and tests to ensure data integrity at every step of data ingestion and transformations.
- Write and review good quality and version-controlled codes.

**Requirements**:

- At least 1-5 years of hands-on experience in data engineering roles or roles that touch many aspects of the data lifecycle.
- Excellent coding abilities in Python and SQL.
- Have at least 2 years of experience working in cloud technologies (e.g. GCP/AWS/Azure).
- Have experience building data pipelines and managing data warehouses in the cloud.
- Excellent communication skills, both in Bahasa Indonesia and English.
- Good working knowledge of the following technologies: Orchestrators such as Airflow, Google Analytics and GTM, Data Building Tool (DBT), Kubernetes, infrastructure-as-code (e.g. Ansible), Machine learning pipelines and deployments.

**Good to have working knowledge in the following technologies**
- Orchestrators such as Airflow.
- Google Analytics and GTM.
- Data Building Tool (DBT).
- Kubernetes.
- Infrastructure-as-code (e.g. Ansible).
- Machine learning pipelines and deployments.