Discuss best practices and strategies for modern data and analytics with clients
Integrate data sources to build models and reports for business users
Configure and operationalize cloud infrastructure in Azure
Speak intelligently to Microsoft’s cloud data strategy and roadmap
Stay current with Microsoft technologies and modern data platform best practices
Requirements
3+ years of experience in data engineering and modeling
Data engineering experience in Azure and be familiar with modern data platform technologies like Azure Analysis Services, Azure Data Lake, Azure Databricks, Azure Data Warehouse, and Azure Data Factory.
Ability to design an end-to-end data analytics solution architecture and drive its implementation
Deep understanding of Agile engineering practices
Data Warehousing
Data ETL/ELT
Data Modeling (Dimensional/Kimball)
T-SQL
Azure Data Factory (or strong SSIS experience)
Azure Data Lake Store
SQL Server/Azure SQL
Azure Analysis Services or SQL Server Analysis Services (SSAS)