Data Engineer - Intermediate
Tasks
- Analyze large datasets
- Build data architectures
- Create data visualizations
- Design data models
- Develop data pipelines
- Develop machine learning models
- Ensure data quality
- Identify trends
- Improve BI processes
- Manage metadata collection
- Optimize data performance
- Translate insights for business stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Redshift | BigQuery | BigQuery ML | Cloud platform | Data Lakes | GCP | Google Cloud | Google Cloud Platform | Looker | Machine Learning | Machine Learning Pipelines | NumPy | Pandas | Power BI | Python | SQL | Snowflake | Tableau | Vertex AI
Education
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