Data Engineer
Summary
Build and maintain Python ETL pipelines, design scalable data solutions, and automate data processes using BigQuery, Google Cloud, and SQL for analytics and insights.
- Apply statistical methods and machine learning when needed
- Automate data processes with scripts
- Build and maintain Python ETL flows
- Design and implement data solutions with stakeholders
- Develop scalable data pipelines
- Perform data analysis and modeling in Python and SQL
- Report on KPIs using dashboards
- Transform unstructured data into insights
- Translate technical data into business insights
- Use BigQuery to retrieve and transform data
- Use Google Cloud Storage and Google Cloud Run for data processing
Perks/Benefits:
- 27 vacation days
- Home office option
- Lunch provided
- Professional trainings
- Remote work option
- Training budget
- Versatile innovation time