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    Data Engineer - Atlanta, United States - Microsoft Corporation

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    Description


    Cloud Operations + Innovation (CO+I) is the team behind one of the World's largest Cloud Infrastructures, responsible for powering all Microsoft online Products and Services as well as powering Microsoft's "Cloud First" mission.

    Our focus is on smart growth, high efficiency, and delivering trusted experience to customers and partners worldwide, and we are looking for passionate, high-energy program managers to help achieve that mission.

    If you want to have a fundamental impact on how Microsoft's Cloud is deployed and operated globally, be involved with one of the most strategically important teams at Microsoft, and have sound technical and business acumen, leadership, creativity, and out-of-the-box thinking are some of the skills you bring to the table - this job is for you


    As a Data Engineer, you will partner with various teams to develop business requirements to standardize the business input and develop a long-term vision and partnering cross-functionally.

    CO+I continues to invest heavily in business intelligence and data science, and you have the opportunity to lay the foundation for work we do in these 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

    Designing and implementing data solutions that drive business impact. Turning data chaos into scalable, efficient, and automated solutions.
    Adept at leading cross-functional teams, defining data strategies, and leveraging the latest technologies in data handling and data analytics.
    Build, Develop, Grow and Lead a team of data engineers. Translate business requirements into data models that are easy to understand and used by different subject areas.
    Design, implement and build data models and pipelines that deliver data with measurable quality under the service level agreement.

    Partner with product teams, data analysts and engineering teams to build foundational data sets that are trusted, well understood, and aligned with business strategy.

    Improve existing systems, including what areas have gaps that need to be filled, and have started working with the team and stakeholders to scope and prioritize solutions.

    Establish rigorous engineering processes to ensure service quality, delivery of new capabilities, and continuously improving metrics.
    Foster and develop talented engineers capable of developing and running scalable, reliable, maintainable services.
    Work closely with Research and Data Science to influence how optimization and modeling improve our decisions.

    Other

    Embody our Culture and Values

    Qualifications


    Required Qualifications:
    Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling or data engineering work
    OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ year(s) experience in business analytics, data science, software development, or data engineering work
    OR equivalent experience.
    4+ years of experience building highly scalable applications, specifically with coding languages such as Python and SQL
    Proven experience in version control and CI/CD tools
    Extensive experience in pioneering, scaling, and optimizing data pipelines, data storage, large-scale data processing/analytics platform, dashboards.

    Other Requirements

    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 Qualifications

    8+ years of software engineering experience including building large-scale data applications.
    10+ years experience building highly scalable applications.
    Experience creating high-quality data pipelines.
    3+ years of people management experience leading high performing frontend engineering teams.
    Experience bringing people together across teams to successfully collaborate on innovative solutions.
    Experience growing people and teams through modeling, coaching, and demonstrating care.

    Data Engineering IC- The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 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 $145,800 - $238,600 per year.

    Certain roles may be eligible for benefits and other compensation.

    Find additional benefits and pay information here:


    Microsoft will accept applications for this role until March 30, 2024.

    #IPACareers

    #COICareers

    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.

    #J-18808-Ljbffr

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