Data & Analytics Engineer
Tasks
- Analyze data from multiple sources
- Build cloud data lake solutions
- Build self-service analytics
- Build standardize and maintain reporting
- Communicate insights with visualizations
- Design data architecture and metrics
- Engineer features from structured data
- Engineer features from unstructured data
- Ensure data quality, lineage, and reliability
- Identify high-impact data use cases
- Implement data products and models
- Optimize processes with data driven decisions
- Set up monitoring alerting and lifecycle management
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS QuickSight | Agile | Alerting | Azure | Cloud Computing | Data Lake | Data Lineage | Data Modeling | Data Quality | Data Visualization | Data Warehousing | Data mesh | ETL | Feature Engineering | Git | Infrastructure as Code | Integration Services | MS Fabric | Monitoring | Object-Oriented | Object-oriented programming | Power BI | Python | Qlik Sense | SQL | SQL Server | SQL Server Integration Services | SQL Server integration | Scrum | Server Integration Services | “as-code”
Education
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