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 build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.​

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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.

Responsibilities

• Work with engineers, program managers and partner teams to deliver a set of features with the right overall design and architecture.

• Write clean, robust, and well-thought-out code with an emphasis on quality, performance, simplicity, durability, scalability, and maintainability.

• Build cloud scale products with focus on efficiency, reliability and security.

• Contribute to the architecture & design of the products and services.

• Help create a diverse and inclusive culture where everyone can bring their full and authentic self, where all voices are heard, and where we do our best work as a result

Embody our culture (https://careers.microsoft.com/v2/global/en/culture) and values (https://www.microsoft.com/en-us/about/corporate-values)

Qualifications

Required /Minimum Qualifications

• 3+ years of industry software design and development experience

• Hands on development experience in any major programing language (C++, C, Java or C#)

• Fluency in scripting languages like PowerShell, Bash, etc.

• Strong understanding of cloud infrastructures like Azure or AWS

• Bachelor degree in Computer Science, Computer Engineering, or equivalent experience.

About:

The Cosmos Analytics Platform team within Azure Data manages millions of large-scale data jobs on hundreds of thousands of machines serving critical big data pipelines, extracting intelligence from all data structured, semi-structured, and unstructured. The Cosmos platform processes Exabytes of data daily and is world's largest analytics infrastucture.

We are looking for passition individuals for a Software Engineering role who can assist the team building tools and services which automates/ simplifies team's work. Enhancing the underlying big data platform w.r.t. security, scale and reliability are part of the core responsibilities. Engineer has to collaborate closely with the partner teams and maintain the end to end deployments and manage service uptime.

If you have expertise with Big data related open source technologies, automation, cloud infrastructures, monitoring, and reliability, we want to talk to you.

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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) .