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Microsoft Corporation Senior Data Engineer - Intelligent Conversation and Communications Cloud Team in Tallinn, Estonia

We are building the Intelligent Conversation and Communications Cloud (IC3). We power Microsoft’s first-party real-time conversation products, notably Skype and Teams with hundreds millions of users, by providing reliable and high-quality audio and video calling, meetings, and chat services that work every time, from anywhere, on any device. And we expose our core capabilities to third-party partners, with which they can bring conversations to life in their own products. With IC3, we will enable customers to do more by making conversations on our platform more intelligent, surfacing useful information in real-time and taking actions on the customers’ behalf during the conversation. And, we will learn from each conversation. Every call, meeting, or chat will make the next one better.

Network Heatmap is a focused team developing data processing and data analysis tools that help to understand and optimize performance of the network used by Microsoft services. Using big data, we improve experience of users across enterprise and consumer segments. We are looking for a data engineer to help us build, improve, and scale our data processing frameworks. You will also perform and apply data analysis to further improve quality and reliability of our network and services.

We want you because you have an insatiable passion for technology, your constant intellectual curiosity and willingness to learn, your ability to communicate well in a team environment, your desire to make our team better with your contributions and of course your ability to deliver the right results at the right time.

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

  • Beinvolved in thefulldevelopmentlifecycle: fromunderstandingbusiness and technicalrequirements; creatingtechnicalarchitecture and documentation; programming, testing, releasing; tomonitoring, troubleshooting and fixingbugs.

  • BuilddataprocessingframeworksusingtechnologieslikeAzureDataFactory, AzureData Explorer, PowerBI, Python and morepublic and Microsoft internaltools.

  • Perform and getinsightsfromdataanalysis – visualizingbigdata, looking forinsightsfrommassivetelemetry, comingfromhundreds of millions of recordsperday.

  • Work closelywith partner teams, productmanagers and otherstakeholders.

  • Growengineeringculture and bestpractices.

Qualifications

Required Qualifications:

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

  • OR equivalent experience.

  • Experiencewithbuildingdatapipelines and datastores.

  • Experiencewith SQL or SQL-likelanguages.

  • Robust experience with data engineering and love for data analysis.

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 qualifications :

  • Passion and eagerness for continuous learning.

  • Knowledge of networking (TCP/UDP, routing, networkinginfrastructure), real-timemedia (audio/video), VoIP (VoiceOver Internet Protocol).

  • Experiencewithvisualizingbigdataordashboarding.

  • Machine learning knowledge and experience.

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) .

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