Source description
About the role
Azure Cloud Consultant (E3.2) - JD
Technology Expertise : Cloud Data Consultant- Azure (Data Platform, Cognitive and Analytics Services)
Experience
8-12 Years with 5-8 Years of Relevant Experience.
Role & Responsibilities
This role will encompass part-delivery.
Delivery will include hands-on work relating to technologies as mentioned herein.
Business Development will include analyzing, solutioning and solving client's problems.
During delivery, use the opportunity to gain client's confidence, identify business/technical gaps & new use cases, develop solutions, present them to client stakeholders.
You will be responsible to configure and deploy the different Azure Analytics services.
Engage with stakeholders from the client's team to translate business problems into high-level solution approach.
Interact with peers, tech competencies and/or management teams on the client-side and/or within organization to get information and support you need in your work/pursuit.
You may work in an individual capacity or with a team depending upon the client's situation.
Required Qualifications
Must have bachelor’s degree, or MS degree in Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
Must have Hands on experience on below Azure Analytic services:
Azure Cognitive Service, Azure Services - Azure Data Explorer, Azure Batch, Azure Stream Analytics, Azure Stream Analytics Job, Azure Synapse Analytics, Azure Bot Services, Azure SQL Database, Azure SQL Managed Instance, Azure Data Warehouse, Cosmos DB, Event Grid, Azure Data Factory, Azure Data Lake Store, Azure Event Hub, Data Lake Storage Data
Executive presence, ability to hold dialogue with a client's business and technical stakeholder
Excellent at verbal, written and presentation skills.
Ability to defend a solution with technical facts & business proficiency.
The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services.
Strong team collaboration and experience working with remote teams.
Monitoring progress, managing risk, and ensuring key stakeholders are kept informed about progress and expected outcomes.
Assessing the Customers' knowledge of Azure Data Platform and overall cloud data readiness to support customers through a structured learning plan and ensure its delivery.
Translating business requirements to technical solutions leveraging strong business acumen.
Experience working on data engineering projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale
MS Certifications: Azure Data Engineer Associate, Azure Fundamentals
Job type: Contract Reference: 21-05876
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