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 sessionsStrong problem solving and troubleshooting skills with the ability to exercise mature judgmentExperience with other leading commercial Cloud platforms, including Google Cloud Platform and AWSExperience with Snowflake cloud data warehouse highly preferredExperience with Azure Stream / Stream Analytics highly preferredExperience with SparkFamiliarity with Azure PaaS service offeringsExperience in At least one FLC implementation using MS Azure toolsetExperience 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 Python6+ 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 toolsBachelor's Degree or equivalent professional experience