​​Software Engineer II​​

Bangalore, Karnataka, India

Microsoft

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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.​ 

 

​​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 team manages Azure HDInsight product and also works on Microsoft Fabric Data Engineering layer. 
 
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. 

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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

Candidate will be responsible for developing solutions for the functional and security requirements in Azure Big Data platform based on Open-Source Software such as Hadoop and Spark. 
Candidate will be leveraging the Spark, AI and Cognitive Services of Microsoft Fabric to build native, cost effective and user-friendly solutions for Data Engineering applications at scale. 
 
Languages: Java, Python, Scala, C#. 
Skills: Linux based system debugging, Apache Spark, Hadoop, Azure cloud technologies, Distributed Systems. 
 
Embody our culture and values 

Qualifications

Required/Minimum Qualifications 

​​Academics: B.E./ B.Tech. or equivalent degrees in Computer Science (Masters is a plus).

 

Other Requirements Experience Level: - 4+ year​ 

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 

​​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.​ 

 

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#azuredata 

 

 

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.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Azure Big Data Business Intelligence Computer Science Cosmos DB Data Analytics Distributed Systems Engineering Hadoop Java Linux Open Source PostgreSQL Power BI Python Scala Security Spark SQL

Perks/benefits: Medical leave

Region: Asia/Pacific
Country: India

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