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Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.
Job Responsibility:
Uses appropriate artificial intelligence tools and practices across the software development lifecycle in a disciplined manner
Contributes in partnership with appropriate internal stakeholders to understand customer/user requirements for a feature
Tests and explores various design options, outlining strengths and weaknesses of each option
Assists with executing test plans that incorporate security testing and builds testable code for a feature with guidance
Creates and implements code for a feature
Reviews product feature code and test code to ensure it meets team standards, considers diagnosability, reliability, and testability when reviewing code
Identifies open code sources available for building solutions and shares ideas on tools to improve efficiency
Understands security and privacy considerations and establishes code invariants to model "security as code" with guidance.
Requirements:
Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.