​​Software Engineer​

• Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. 
   
  
• 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’re the team that developed the Mashup Engine (M), Power Query, M Connectors and the Data Gateway. We already ship monthly to millions of users across Excel, Power BI, Microsoft Fabric, Flow, and PowerApps; but in many ways we’re just getting started. We’re building new services, experiences, and engine capabilities that will broaden the reach of our technologies to several new areas – automated dataflows, data “intelligence”, and large-scale data analytics. We plan to use example-based interaction and innovative visualization to make data access and transformation even more intuitive for non-technical users. 
   
  
• If the “democratization of data” sounds like a compelling mission, this is the team for you. 

• We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. 

Required/Minimum Qualifications

· Bachelor's Degree in Computer Science, or related field or equivalent experience.

Additional or Preferred Qualifications

· Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, data modeling or data engineering work

o OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field o OR equivalent experience.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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• Design and implement performant and engaging web user interfaces for data visualization / exploration / transformation / connectivity and data flow management. 
• Collaborate with appropriate stakeholders (e.g., project managers, technical leads) to determine user requirements for a scenario.
• Ensure appropriate continuous feedback loops measuring customer value, usage patterns, and other actionable metrics of value are incorporated.
• Work collaboratively and communicate effectively with a small, motivated team of engineers and product managers. 
• Experiment with and recommend new technologies that simplify or improve the tech stack.
• Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system / product / service for degradation, downtime, or interruptions.
• Alert stakeholders as to status and initiates actions to restore system / product / service for simple problems and complex problems when appropriate.
• Respond within Service Level Agreement (SLA) timeframe and drives efforts to reduce incident volume, looking globally at incidences and providing broad resolutions.
• Escalates issues to appropriate owners.
• Other · Embody our culture and values.