Data Engineer (m/w/d)
Tasks
- Automate recurring data processes
- Build data warehouse on Google BigQuery
- Develop and maintain ETL/ELT pipelines
- Document data models and architectures
- Implement data quality, validation, and monitoring
- Model and optimize data warehouse
Perks/Benefits
- Childcare support
- Flexible working hours
- Home office
- Learning opportunities
- Meal vouchers
- Mental health support
- Reduced transportation costs
- Team events
Skills/Tech-stack
Apache Airflow | CI/CD | Cloud Functions | Cloud Storage | Cloud platform | DBT | Data Quality | Data Validation | Data Vault | Data Warehouse | Data Warehouse Architecture | Data quality monitoring | Dataflow | Dataform | Dimensional Modeling | ELT | ETL | Git | Google BigQuery | Google Cloud | Google Cloud Platform | Google Cloud Storage | Infrastructure as Code | Looker | Looker Studio | Metabase | Pub/Sub | Python | Quality monitoring | SQL | Terraform | Warehouse Architecture | “as-code”
Education
N/A
Roles
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