Data & Analytics Engineer
Tasks
- Analyze data from multiple sources
- Build self-service analytics
- Create data visualizations and narratives
- Deliver projects on time and within cost
- Design data architecture and database models
- Develop data products and models
- Ensure data quality, lineage, and reliability
- Identify high-impact data use cases
- Implement monitoring alerting and lifecycle management
- Optimize cloud data lake and warehouse solutions
- Preprocess and engineer features
- Propose process optimizations and data driven decisions
- Standardize and maintain reporting
- Support IT governance and compliance standards
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS QuickSight | Agile | Alerting | Azure | Data Lake | Data Lineage | Data Quality | Data Visualization | Data Warehousing | Data mesh | Database Modeling | ETL | Feature Engineering | Git | Infrastructure as Code | Integration Services | Machine Learning | Microsoft Fabric | Monitoring | Object-Oriented | Object-oriented programming | Power BI | Python | Qlik Sense | R | Reporting | SQL | SQL Server | SQL Server Integration Services | SQL Server integration | Scrum | Server Integration Services | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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