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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