Data Engineer
Tasks
- Automate ETL and data processing with scripts
- Build and maintain robust data pipelines in Python
- Create dashboards and presentations for strategic decisions
- Design and implement data solutions with stakeholders
- Develop and optimize scalable data pipelines
- Perform data analysis and modeling in Python and SQL
- Retrieve and transform complex data from multiple sources
- Translate data into business insights for KPI reporting
- Use statistical methods and machine learning when needed
Perks/Benefits
- 27 vacation days
- Flexible work location
- Home office option
- Learning academy
- Meal benefit
- Training budget
Skills/Tech-stack
API Integration | BigQuery | Cloud Run | Cloud Storage | Data Modeling | Data Pipelines | Data Visualization | ETL | GCP | Google Cloud | Google Cloud Run | Google Cloud Storage | Looker | 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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