Senior Software Engineer

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 data integration team builds data gravity on the Microsoft Cloud. Massive volumes of data are generated – not just from transactional systems of record, but also from the world around us.  Our data integration products – Azure Data Factory and Power Query make it easy for customers to bring in, clean, shape, and join data, to extract intelligence.

We are looking for a Senior Software Engineer to join our team. 

In this role, you will implement projects that improve the functionality, reliability, and scalability of the Power Query services. You will have the opportunity to work with multiple partner teams to ensure a seamless end to end experience for our customers. ​

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Creates and implements code for a product, service, or feature, reusing code as applicable. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered. Applies coding patterns and best practices to write code.

Creates a clear and articulated plan for testing and assuring quality of solutions, and defines success for outcomes of tests (e.g., unit tests). Adds new tests, removes antiquated tests, and aggregates tests to improve tests in the feature area. Helps to drive efforts for augmenting test cases and ensures that the solution area has good test coverage. Helps to integrate automation features when planning for testing.

Builds knowledge, shares new ideas, and shares pinpoints of engineering tool gaps to improve software developer tools to support other programs, tools, and applications to create, debug, and maintain code for complex product features. Uses open source when possible. Develops higher-level awareness of other kinds of tools outside areas of expertise. Helps to identify internal tools and creates tools that will be useful for creating the product, determining if methods are still applicable for the current solution.

Works with appropriate stakeholders (e.g., project manager, technical lead) to determine user requirements for a set of features. Begins to leverage a variety of feedback channels to incorporate insights into future designs or solution fixes. Incorporates appropriate continuous feedback loops measuring customer value, usage patterns, and other actionable metrics of value.

Acts as a Designated Responsible Individual (DRI) working on call to monitor system/product feature/service for degradation, downtime, or interruptions. Alerts stakeholders as to the status and gains approval to restore system/product/service for simple problems. Responds within Service Level Agreement (SLA) timeframe. Escalates issues to appropriate owners.

Identifies areas to efforts to integrate instrumentation for gathering telemetry data on system behavior such as performance, reliability, availability, usage, and safety mechanisms. Contributes to sustaining feedback loops from telemetry resulting in subsequent designs. Helps to create outputs of telemetry such as notifications or dashboards.

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