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.
The Cosmos platform team is hiring for a Software Engineer who can assist the team building tools and services which automates/ simplifies team's work. Engineer has to collaborate with the partner teams and maintain the end to end deployments.
Engineer has to plan and improvements of the underlying big data platform
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.
Required/Minimum Qualifications
- Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Familiarity writing C# or Java programs is preferred.
- Fluency in scripting languages like PowerShell, Bash, etc.
- Strong understanding of cloud infrastructures like Azure or AWS.
- Experience with automation of build, test and deployment infrastructures.
- A firm grasp of basic networking concepts including routing, subnets and firewalls.
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. 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.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
- Build cloud scale products with focus on efficiency, reliability and security.
- Build and maintain end-to-end Build, Test and Deployment pipelines.
- Deploy and manage massive Hadoop, Spark and other clusters.
- Contribute to the architecture & design of the products.
- Triaging issues and implementing solutions to restore service with minimal disruption to the customer and business. Perform root cause analysis, trend analysis and post-mortems.
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