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Detailed Job Description:

Candidates should have an understanding of the evolving data landscape. They should know about the evolution of data systems and their influence on data professionals. Candidates should have min 10 years exp on Data ware housing system (ETL/ELT) Candidates should know the differences between on-premises and cloud data solutions. Furthermore, a clear understanding of business use cases of cloud technologies is also favorable. Skilled in Azure Data Pipelines using ADF, Databricks and Synapse Analytics data integration Should have knowledge on T-SQL and Spark SQL Should have worked in complex Data engg projects end to end as an Azure Data Engineer. Good communication skill and should be independent Should have good understanding of DevOps tool and Agile framework Must have knowledge on MDI framework Certification DP- 203 desired Should have data modelling understanding business vault, Data vault, EDW etc