Candidate should be able to: • Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise, and providing As-a-Service offerings for continuous insights and improvements • Leverage automation, cognitive and science-based techniques to manage data, predict scenarios, and prescribe actions • Implement large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
Candidate should have: • Strong oral and written communication skills, including presentation skills (ie: MS PowerPoint) • Ability to create critical collaterals for client workshops and customer interactive sessions • Strong problem solving and troubleshooting skills with the ability to exercise mature judgment • Experience with other leading commercial Cloud platforms, including Google Cloud Platform and AWS • Experience with Snowflake cloud data warehouse highly preferred • Experience with Azure Stream/Stream Analytics highly preferred • Experience with Spark • Familiarity with Azure PaaS service offerings • Experience in At least one FLC implementation using MS Azure toolset Experience with MS Azure to include:
o SQL Server on Azure
o Azure Synapse Analytics/SQL DW
o SQL Server Analysis Services (SSAS)
o Azure Resource Manager (ARM) templates •experience with SQL and Python • 6+ years of relevant technology consulting or industry experience with an ability to contribute to an end-to-end Architecture and Solution overview using Microsoft Azure tools • Bachelor’s Degree or equivalent professional experience
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