Data Engineer - Intermediate
Tasks
- Analyze large datasets for trends and insights
- Build and optimize ML data pipelines
- Design data models and architectures
- Develop and implement ML models
- Develop data visualizations for technical and non technical audiences
- Ensure data quality, scalability, and performance
- Explore new technologies to improve BI processes
- Manage project metadata and progress
Perks/Benefits
- N/A
Skills/Tech-stack
BigQuery | BigQuery ML | Cloud Data | Cloud data lake | Cloud platform | Data Lake | Data Modeling | Data Warehousing | Google Cloud | Google Cloud Platform | Looker | ML pipelines | NumPy | Pandas | Power BI | Python | Redshift | SQL | Snowflake | Tableau | Vertex AI
Education
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