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Detailed Job Description:

Good knowledge of different Azure services related to Data Engineering Hands on experience in designing & development of ETLs using Azure data factory  Should know how to establish connections to different data sources such as Data Lake, web portals, database, Hadoop etc. Should be familiar with all the transformations available in ADF such as copy, web, look ups, decision controls, iteration loops, data flow task etc. in order to perform ETL Should have experience in scheduling and automating ADF pipelines Should have good experience in data modelling & data warehousing in Azure Good experience in SQL Server database system and No-SQL databases: knowledge of SQL query is a must Should be able to design and develop stored procedures for Azure SQL DWH Hand-on experience on Polybase or any other external table concepts Good Hands on Experience on Power BI, and Should be familiar with end to end setup for an on premise and cloud deployment of Power BI  Understanding of the infrastructure requirements of setting up Power BI from scratch Must have worked with connectors to various data sources such SQL Server, Oracle, SAP HANA etc Hands-on dashboard design on Power BI desktop, must have done report creation using virtualization on Power BI. Data modelling, Calculations, Conversions, Scheduling Data refreshes in Power BI Desktop Should be able to create gateways and app work spaces  Should be able to import data from multiple data sources

Minimum years of experience*: 5

Interview Process (Is face to face required?) No