Distributed Cloud | AWS Data Engineer
Tasks
- Build AWS data integration workflows
- Build and operate SSAS cubes
- Collaborate in Scrum using Jira and Confluence
- Create Tableau dashboards and interactive reports
- Design data lake and data warehouse solutions
- Implement Kafka streaming data pipelines
- Manage incidents and operational support
- Prepare data for machine learning models
- Process data using Python and SQL
- Support real-time data analytics
- Use Git for version control
Perks/Benefits
- N/A
Skills/Tech-stack
AI | AWS | AWS Glue | Agile | Amazon QuickSight | Analysis Services | Apache Kafka | Apache Spark | BI | Confluence | Data Lake | Data Modeling | Data Warehouse | Git | Incident Management | Integration Services | Jira | Machine Learning | Microsoft SQL | Microsoft SQL Server | Microsoft SQL Server Analysis | Microsoft SQL Server Analysis Services | Microsoft SQL Server Integration Services | Multidimensional data | Multidimensional data modeling | OLAP | Predictive Modeling | Python | Real Time | Real-time analytics | SQL | SQL Server Analysis Services | SQL Server Integration Services | Scrum | Server Integration Services | Tableau
Education
N/A
Roles
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