Data Engineer
Tasks
- Apply statistical methods and machine learning when needed
- Automate data processing with scripts
- Build and optimize scalable data pipelines
- Create KPI reporting and dashboards
- Design and implement data solutions with stakeholders
- Develop Python ETL flows
- Perform data analysis and modeling in Python and SQL
- Retrieve and transform data from multiple sources
- Translate data into business insights and recommendations
Perks/Benefits
- 27 vacation days
- DISC training
- Flexible office locations
- Home working
- Lunch provided
- Outdoorday
- Professional development Academy
- Team events
- Training budget
- Travel friendly office
Skills/Tech-stack
API Integration | APIs | BigQuery | Cloud Run | Cloud Storage | Dashboards | Data Modeling | Data Pipelines | Data Visualization | ETL | GCP | Google Cloud | Google Cloud Run | Google Cloud Storage | Looker | Looker Studio | MLOps | Machine Learning | Power BI | Python | SQL | Statistical Analysis | Tableau | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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