Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. 

Microsoft operates in 190 countries and is made up of more than 220,000 passionate employees worldwide.

Microsoft

The Azure Core Organization is responsible for creating the foundation of Microsoft’s Cloud Platform for utility computing. This platform is one of the lowest levels of the services software/hardware stack and includes an efficient, virtualized computational substrate, a fully automated service management system, and a comprehensive set of highly scalable storage services.

The Azure Compute Capacity and Efficiency (AC2E) team is the team in Azure Core tasked with managing all aspects of Compute capacity and efficiency management across the fleet. Capacity Management needs to ensure that on the one hand, there is sufficient capacity across all regions, allocation domains, and hardware infrastructure to meet all customer demand, while on the other hand ensuring that capacity is provisioned efficiently thereby avoiding overspending and COGS/CAPEX impact. At the scale of Azure’s business, managing this trade-off across the entire Azure Compute fleet is an enormously complex task, where improvements can make the difference between customer allocation failures on the one hand, and gargantuan savings on the other.

As a Data Engineer in the team, you will work closely with our software engineers, program managers, and data scientists across different teams within Azure Core. You will also collaborate with a variety of internal partner teams across Azure and Microsoft. You will build reliable, secured, highly scalable, performant data pipelines to enhance the Azure Compute allocation, deliver capacity management and efficiency improvements. The value of your work will be reflected in improvements to the Azure platform, Azure service capacity fulfillment rate, customer satisfaction, and various efficiency metrics, including COGS reduction. You will have opportunities for mentorship, accelerate your career growth, and work on truly high-business impact areas.

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

Data Engineering, insights generation and analytics with deep domain knowledge understanding.With detailed instructions, you’ll implement code to extract raw data, validate its quality, and ensure the correct data is ingested within your area of work after cooking, data transformation.You will follow data modeling and handling procedures to maintain compliance with all applicable laws and policies across your assigned workstreams.Integrating analytics intelligence into the Azure platformAdvocate for best practices in data engineering.OtherEmbody our Culture and Values
Qualifications

Required Qualifications: 

Bachelor's Degree in Computer Science, 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.

Additional / 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

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

OR equivalent experience.

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

Data Engineering IC2 - The typical base pay range for this role across the U.S. is USD $76,400 - $151,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $100,300 - $165,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

#Azurecorejobs

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.

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