Azure is a global cloud platform that empowers every person and organization on the planet to achieve more. In addition to the public cloud offerings, the Azure platform also hosts global-scale Microsoft-internal services such as Microsoft Teams, Office, Bing, SQL, and so forth. The customer’s capacity experience plays a critical role in the success of Azure, and we seek to further invest in this area by building a new team of experts in Serbia – software engineers, data engineers, and data scientists – to drive important initiatives to further enhance Azure’s platform capacity management capabilities, and our customer’s capacity experience.

We are looking for a Senior Data Engineer to help us deliver highly scalable capacity management services and world-class platform capacity experience. As part of this work, you will have opportunities to work both on the most fundamental layers of the Azure Control Plane’s technology stack including the Azure Allocator, as well as on Azure’s central capacity services, such as Compute Capacity Central (CCC) and the Azure Compute Management and Automation System (CMAS). You and your colleagues will work in close collaboration with your partner teams and develop and drive your own agenda. In collaboration with your partner teams, you will be responsible for the core services that track and manage capacity usage in Azure, maintain capacity buffers and provide key capacity telemetry. You will also work on highly efficient and customer-friendly capacity reservation services, customer workload deployment support, and you will build key platform capabilities to enhance Azure’s end-to-end capacity management excellence.

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.

Responsibilities

• Design and develop distributed cloud-scale data pipelines and software services that are engineered for scale, availability, high performance, and high reliability.

• Own and deliver complete features including design, architecture, implementation, testability, debugging, and shipping.

• Collaborate with partner teams across the world to drive key platform capacity management capabilities and enhance customer capacity experience scenarios.

• You will build code to extract raw data, validate its quality, and apply your deep data knowledge to ensure the correct data is ingested across the pipeline. You’ll also create techniques to transform raw data into forms compatible with downstream data sources.

• You will identify opportunities to leverage and contribute to the development of data tools that are used to transform, manage, and access data. You’ll also write and validate code to test the storage and availability of data platforms so that they’re more resilient.

• Lead the refinement of products through data analytics and make informed decisions in engineering products through data integration.

• Deliver high quality of service to Azure customers through live-site excellence.

• Advocate for best practices in data engineering.

Qualifications

Required Qualifications:

• Proven experience with cloud-scale applications and live services

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, data modeling or data engineering work

• OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field

• OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred / Additional Qualifications:

• Experience in business analytics, data science, software development, data modeling OR data engineering work.

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Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .