Azure Big data teams (Azure Synapse, Azure Data Lake, HDInsight, Azure Stream Analytics and Cosmos) present interesting challenges in technologies such as big-data, cloud, storage and open-source. We build reliable, highly scalable and highly performing distributed systems for data analytics on Azure. We work with various open-source technologies like Spark, Hadoop, Yarn, etc., and make contributions to these technologies. We are creating a planetary scale storage system, which can scale to Exabyte of data (yes, that’s 18+ digits!). We are building next generation globally distributed, elastic scale, multi-model cloud database services. It is designed to enable developers to build planet-scale applications.
Do you want to solve challenges that you didn’t even know existed until you get to a large size? Come join us on the Azure Big data team!
Qualifications:
Required Qualifications:
Preferred Qualifications:
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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.
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.
Job ID: 37310
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