Data Engineer
Tasks
- Apply statistical methods and machine learning when needed
- Automate data processing with scripts
- Build and maintain robust data pipelines
- Convert unstructured data into actionable insights
- Design and implement data solutions with stakeholders
- Develop and optimize scalable data pipelines
- Identify bottlenecks and improve data driven decision making
- Perform advanced data analysis and modeling
- Report on KPIs using dashboards
- Retrieve and transform complex data from multiple sources
- Translate data into business insights
Perks/Benefits
- 27 vacation days
- DISC training
- Fruit provided
- Home office support
- Lunch provided
- Meal allowance
- Professional development Academy
- Remote work option
- Team activities
- Training budget
Skills/Tech-stack
API Integration | BigQuery | Cloud Run | Cloud Storage | Data Analysis | Data Modeling | Data Pipelines | ETL | Google Cloud | 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 | PhD
Roles
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