Data Engineer

Be an integral part of large scale client business development and delivery engagements Develop the software and systems needed for end-to-end execution on large projects Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions Build the knowledge base required to deliver increasingly complex technology projects Object-oriented languages (e.g. Python, PySpark, Java, C#, C++ ) and frameworks (e.g.

J2EE or .NET) Database programming using any flavours of SQL Expertise in relational and dimensional modelling, including big data technologies Exposure across all the SDLC process, including testing and deployment Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Good knowledge of Python and Spark are required Good understanding of how to enable analytics using cloud technology and ML Ops Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus