Key skills
AzureCloudETLSQLSSISELTData EngineeringData WarehousingData LakeAnalyticsDatabricksAzure DevOpsAzure SQLSQL ServerAgile
About this role
Role Overview
- 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)
- Tabular
- Azure DevOps/Continuous Integration & Continuous Delivery
Tech Stack
- Azure
- Cloud
- ETL
- SQL
- SSIS
Benefits
- Health, Vision, and Dental Insurance
- Life Insurance
- Health/Dependent Care Flexible Spending
- 401(k) Plan
- Short-Term and Long-Term Disability Coverage
- Generous Vacation and Flex Time Off Programs
- Company Paid Holidays
- Training and Development Opportunities