Data Engineer GCP (m/f/d)
Tasks
- Build and deploy machine learning models with Vertex AI
- Build data processing pipelines with Hadoop Hive and PySpark
- Deploy and manage infrastructure on Google Cloud Platform
- Deploy workloads across DEV TEST and PROD
- Implement Python applications for cloud services
- Integrate data sources into Google Cloud Storage and data products
- Manage BigQuery and Google Cloud services
- Manage security with IAM and Secret Manager
- Orchestrate jobs with Airflow
- Set up CI/CD pipelines with GitLab
Perks/Benefits
- 26 plus working days vacation
- Childcare
- Coursera access
- Customized training
- Flexible working hours
- Free access to specialist services
- Hybrid work model
- International mentoring sessions
- Life and accident insurance
- Meal vouchers
- Medical leave salary coverage
- Remote/On-site flexibility
- Telemedicine
- Transport support
- Weekly language classes
Skills/Tech-stack
Apache Airflow | BigQuery | CI/CD | Cloud Composer | Cloud Run | Cloud Storage | Cloud platform | Compute Engine | DNS | GitLab CI | GitLab CI/CD | Google Cloud | Google Cloud Platform | Google Cloud Storage | Google Kubernetes | Google Kubernetes Engine | Google Secret Manager | Hadoop | Hive | Hub and Spoke | IAM | Identity-Aware Proxy | Kubernetes Engine | Load Balancing | Machine Learning | PySpark | Python | Secret Manager | Shared VPC | Terraform | VPN | Vertex AI
Education
N/A
Roles
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