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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