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Please do not contact the recruiter directly.
Overview Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further.
This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.
The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI.
Our mission is to?build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
??Within Azure Data, the big data analytics team provides?a range of products that enable data engineers?and?data scientists?to extract intelligence from all data?–?structured, semi-structured, and unstructured.
We are in the process of integrating our disparate products into Azure Synapse Analytics?with a set of experiences that are?meant?to simplify and accelerate time to value.
? ??We are looking for engineers to lead the development of the core components of the Cloud Data Warehouse that powers SQL analytics in Azure compute.
You will work in areas related to query optimization, transactional storage and distributed query processing to build an elastic and scalable cloud DW to enable Tier1 enterprise workloads in Azure Data Lake.
We are looking for passionate people with experiences working with all service aspects of high throughput and multi-tenant services, ability to design components?carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability.
??We do not just value differences or different perspectives.
We seek them out and invite them in so we can tap into the collective power of everyone in the company.
As a result, our customers are better served.
Qualifications Required/Minimum Qualifications ??• BS (or higher) degree in Computer Science or Engineering or Mathematics or Physics or IT technical discipline • Extensive years of software design, development and architecture experience • Significant years of building commercial grade, robust and scalable solutions in C#/C++/C or any other object-oriented programming ? 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 developing Cloud online services or extensive experience using cloud online services • Experience in Distributed Big Data systems is a plus.
• Strong verbal and written communication skills ? 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.
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 .
#azdat #azuredata Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Responsibilities ??Your core responsibilities would include: • Leading development on features from the front, driving the development lifecycle for ambitious features from prototype/inception all the way to widespread customer adoption.
• Generating software specifications, proof-of-concepts, and prototype solutions given high level feature requirements.
• Working closely with team members to unblock each other and share learnings and knowledge.
• Using data and telemetry to improve feature work and propose feature improvements to existing products.
• Working in constant communication with customers and stakeholders Embody our culture and values #LI-DNI
