Data Engineer
Tasks
- Apply statistical methods and machine learning when needed
- Build and maintain data pipelines in Python
- Collaborate with stakeholders to design data solutions
- Develop and optimize scalable data pipelines
- Identify bottlenecks and enable data driven decisions
- Perform advanced data analysis and modeling
- Retrieve and transform complex data from multiple sources
- Translate data into KPI reporting and strategic insights
- Use Python and SQL to create insights
Perks/Benefits
- 27 vacation days
- Extra education budget
- Flexible learning academy
- Fridays drinks
- Home working option
- Lunch provided
- Relocation support to office locations
- Team activities
- Training budget
Skills/Tech-stack
API Integration | BigQuery | Cloud Run | Cloud Storage | Cloud platform | Data Modeling | Data Pipelines | ETL | Google Cloud | Google Cloud Platform | Google Cloud Run | Google Cloud Storage | Looker Studio | MLOps | Machine Learning | Power BI | Python | SQL | Tableau | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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