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Software Engineering

Microsoft Hyderabad, Telangana, India

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Job Description

"Embark on a transformative journey as a Software Engineer at Microsoft's Azure Data engineering team, where innovation meets limitless possibilities."

At Microsoft, you'll be part of a collaborative community of passionate innovators who are shaping the future of data analytics. With a portfolio of cutting-edge products like Microsoft Fabric, Azure SQL DB, and Power BI, our team is leading the charge in building the data platform for the age of AI.

As a Software Engineer on our team, you'll have the opportunity to work on a wide range of exciting projects, from big data analytics and real-time messaging to business intelligence and data integration. With a focus on empowering a new class of data-first applications, our mission is to unlock new possibilities for our customers and drive innovation in the industry.

Why you should learn this:

The demand for skilled Software Engineers in the Azure Data engineering team is high, with a projected growth rate of 13% in the next year, driven by the increasing need for data analytics and AI-powered solutions.

Expected Salary: $141,000 - $250,000 per year, depending on location and experience, making it an attractive career choice for those in the field.

How it works:

  • Develop a deep understanding of Azure Data engineering products and services, including Microsoft Fabric, Azure SQL DB, and Power BI.
  • Collaborate with cross-functional teams to design, develop, and deploy data analytics solutions that meet customer needs and drive business outcomes.

Core Concepts to Master

1

Azure Data Factory

Azure Data Factory is a cloud-based data integration service that enables you to create, schedule, and manage data pipelines using a user-friendly interface. It supports a wide range of data sources, including on-premises, cloud, and big data platforms.

2

Azure Synapse Analytics

Azure Synapse Analytics is a cloud-based analytics service that combines enterprise data warehousing and big data analytics capabilities. It enables you to integrate data from multiple sources, perform complex queries, and create data visualizations using a variety of tools and languages.

3

Azure Cosmos DB

Azure Cosmos DB is a globally distributed, multi-model database service that enables you to store and manage large amounts of structured, semi-structured, and unstructured data. It provides a flexible and scalable data model that supports a wide range of use cases, from real-time analytics to machine learning and IoT applications.

Interview Questions (Beginner)

  • What do you know about Azure Data engineering products and services?
  • Can you explain the difference between Azure Data Factory and Azure Synapse Analytics?
  • How would you design a data pipeline using Azure Data Factory?

Job Overview

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

Advance Questions

  • Can you describe a scenario where you would use Azure Cosmos DB to store and manage large amounts of data?
  • How would you optimize the performance of a complex query in Azure Synapse Analytics?
  • Can you explain the concept of data warehousing and how it relates to Azure Synapse Analytics?