Senior Data Engineer (w/m/d)
Tasks
- Build and operate data products
- Define data architecture
- Develop data models and solution options
- Develop testable scalable ETL ELT pipelines
- Implement and maintain DevOps processes for data products
- Implement data quality checks
- Maintain data mesh
- Process structured unstructured and large scale data
Perks/Benefits
- Childcare support
- Employee benefits package
- Flexible working hours
- Free parking
- Home office
- Mobile plan discount
- Paid training and development
- Part-time options
Skills/Tech-stack
API Development | API Management | Asset bundles | Azure | Azure Databricks | Azure Functions | Azure Key Vault | Azure Storage | Azure Storage Accounts | Big Data | Data Architecture | Data Engineering | Data Modeling | Data Quality | Data mesh | Databricks | Databricks (asset) | Databricks Asset Bundles | DevOps | ELT | ETL | GitHub Actions | Internet of Things | Key Vault | Machine Learning | Pandas | PySpark | Python | Storage Accounts | Testing
Education
Roles
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