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Software Engineer II - Backend | Hyderabad

Microsoft Hyderabad, Telangana, India

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Job Description

"Embark on a transformative journey as a Software Engineer II - Backend at Microsoft, where innovation meets data engineering excellence."

As a Software Engineer II - Backend at Microsoft, you will be part of a cutting-edge team that's revolutionizing the world of data analytics with Azure Data engineering. With a focus on building the data platform for the age of AI, you'll have the opportunity to work on a wide range of products, from databases and data integration to big data analytics and business intelligence.

Join a community of passionate innovators who collaborate to envision what can be and take their careers further. With a cloud-enabled world as your playground, the possibilities are endless, and the sky's the limit.

Why you should learn this:

The demand for skilled software engineers in the data engineering space is skyrocketing, with a projected growth rate of 14% annually.

Expected Salary: In India, the average salary for a Software Engineer II - Backend at Microsoft can range from ₹20,00,000 to ₹40,00,000 per annum, depending on experience and qualifications.

How it works:

  • Step 1: Learn the fundamentals of Azure Data engineering products, including databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.
  • Step 2: Develop expertise in languages such as C#, Java, Python, and SQL, and frameworks like .NET and Spring Boot.

Core Concepts to Master

1

Azure Data Factory

Azure Data Factory is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines. It supports a wide range of data sources and sinks, including Azure Blob Storage, Azure Data Lake Storage, and SQL Server.

2

Azure Cosmos DB

Azure Cosmos DB is a globally distributed, multi-model database service that supports document, key-value, graph, and column-family data models. It provides high availability, scalability, and performance, making it an ideal choice for modern applications.

3

Azure Synapse Analytics

Azure Synapse Analytics is a cloud-based enterprise data warehouse that provides a unified view of your data. It supports a wide range of data sources, including relational databases, NoSQL databases, and cloud storage.

Interview Questions (Beginner)

  • What is Azure Data engineering, and how does it differ from traditional data warehousing?
  • What are the key features and benefits of Azure Data Factory?
  • How does Azure Cosmos DB handle high availability and scalability?

Job Overview

CompanyMicrosoft
Employment TypeFull-time
LocationHyderabad, Telangana, India
Experience LevelFresher

Advance Questions

  • Design a data pipeline using Azure Data Factory to integrate data from multiple sources and sinks.
  • Implement a globally distributed database using Azure Cosmos DB and discuss its performance implications.
  • Develop a data warehouse using Azure Synapse Analytics and discuss its scalability and security features.