We are recruiting for à permanent position with one of our international partners ( international recruitment )

Microsoft Data & AI Consultant

Role & Responsibilities:

• Design the Microsoft data platform using Azure data services, Azure Machine Learning and Power BI.
• Infuse key analytics technologies where appropriate (e.g., Azure ML, Database Platforms, Big Data, Data Lake, Azure Databricks, Azure Synapse, etc.)
• Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment.
• Assure the successful delivery of Data & AI solutions projects by working closely with both business and technical teams.

Be the key technical leader, trusted advisor and influencer in shaping customer decisions to adopt Microsoft Data & AI solutions.

• You will lead presentations and solution demonstrations to explain and prove to our customers the capabilities of Microsoft’s Data & AI solutions, and how we can make their businesses more successful.
• Responsible for Microsoft SQL Server implementation, upgrade & migration
• Responsible for building and providing technical solution proposals, demonstrations, and Proof of Concepts (POCs).
• To develop deep relationships with key customer IT decision makers
• To ensure enterprise’s technical resources overall readiness for Microsoft Data & AI Solutions that the company is planning to deliver or support to its customers through a structured learning plan.

Required Qualifications:

• Bachelor’s degree in IT/Computer Engineering
• Must have 8+ years of experience in the field of data platform, Analytics & AI technologies.
• Prior work experience in a consulting position working with solutions that include Data Warehouse, Data Lake, SQL solutions
• Machine Learning solutions
• Excellent customer service, communication, and documentation skills
• Passion to learn technologies.
• Strong analytical skills with the ability to solve complex technical problems.
• Microsoft or other 3rd party Professional Cloud Certification in one or more of the following technologies preferred: Cloud, Database, Big Data, BI, Data Science, Machine Learning, Artificial Intelligence, is a plus
• Solution Architecture and Design
• Experience in Requirements gathering, Scope Development, Agile, and DevOps methods
• Microsoft Azure SaaS and PaaS Platform.
• Microsoft Power Platform

Technical experience and knowledge, with depth / Subject Matter Expertise (SME) in the following Data Platform Cloud solutions and/or data estate workloads required:

o SQL platforms including SQL Server (Database/Analysis Services), Azure SQL DB, OSS Databases (PostgreSQL), ETL/ELT systems
o SQL performance and security tuning
o NoSQL Databases including Azure Cosmos DB, and OSS Databases (Cassandra, Mongo etc.)
o Big Data platforms including SQL DW (Synapse), Snowflake, Redshift, Spark (EMR/HDInsight)
o Advanced Analytics, including Azure Data Bricks
o Visualization tools, including PowerBI
o Machine Learning, including Azure ML Services / ML Flow
o Artificial Intelligence, including Azure Cognitive Services

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