- 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
Should have data modelling understanding business vault, Data vault, EDW etc