MSBI Professional

Experience with Power BI / Fabric Development (Power BI Desktop, Tabular Editor, Power Query, Dataflows, DAX, Real-Time Analytics, Dashboards and Visualizations). Experience with Azure Data Engineering Stack (Azure SQL Database, Azure SQL Managed Instance, Azure Analysis Services, Azure Data Factory, Logic Apps, Azure Logic Apps, Azure Synapse Analytics, Data Modeling, Azure DevOps). Experience with SQL BI Stack (T-SQL, SQL Server, SSIS, SSRS) Data visualization experience preferably on a finance related project using SSRS, Power BI, or Paginated Reports Hands-on experience modeling and optimizing large analytical databases using Analysis Services or Power BI. Hands-on experience migrating Analysis Services to Power BI App Service. Hands-on experience with Azure Data Factory development projects. Act as data engineer on the latest trends in the data analytics landscape and share best practices with the internal team. Good knowledge of Data Modelling and Design concepts. Proven track record of leadership roles delivering solutions within defined timeframes. Must be strong in Data warehousing design aspects, OLAP dimensional modeling, Star Schema, Snowflake, and Best Practices. Comfortable working in an agile delivery model. Azure Data Engineer or Microsoft Power BI Data Analyst certification is added advantage. Should be comfortable working in afternoon shift from 1 PM to 10:30 PM Job Requirements: SQL, SSAS, Power BI, DAX, Power Query.