Data Engineer/Data Scientist
Tasks
- Analyze large datasets for trends and patterns
- Create and maintain dashboards and reports
- Design data pipelines and ETL processes
- Develop and maintain data pipelines and ETL processes
- Develop machine learning models
- Implement data quality controls
- Implement event-driven architectures
- Optimize data pipelines for scalability and performance
- Process real-time data
Perks/Benefits
- N/A
Skills/Tech-stack
Data Pipelines | Data Processing | Data Quality | Databricks | ETL | Event Driven | Event-driven architecture | Grafana | Machine Learning | Microsoft Fabric | Power BI | Python | R | Real Time | Real-time Data | Real-time Data Processing | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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