Data Engineer
Tasks
- Analyze data in Python
- Apply machine learning
- Automate data processing with scripts
- Build ETL flows
- Collaborate with stakeholders
- Create dashboard insights
- Design and implement data solutions
- Develop data pipelines
- Identify bottlenecks
- Ingest data from multiple sources
- Model and interpret data
- Optimize data pipelines
- Query data with SQL
- Report on KPIs
- Transform complex data
- Translate data to business insights
- Use statistical methods
Perks/Benefits
- 27 vacation days
- DISC training
- DISC workshop
- Fresh fruit
- Friday drinks
- Home office support
- Lunch provided
- Remote work option
- Team activities
- Training budget
Skills/Tech-stack
API Integration | BigQuery | Cloud Native | Cloud Run | Cloud Storage | Data Modeling | Data Pipelines | Data Visualization | ETL | Google Cloud | Google Cloud Run | Google Cloud Storage | Looker | 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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