Senior Software Engineer
Microsoft Bengaluru, Karnataka, India
Job Description
"Unlock limitless opportunities as a Senior Software Engineer at Microsoft, where innovation meets collaboration."
As a Senior Software Engineer at Microsoft's Azure Data Engineering team, you will be at the forefront of transforming analytics in the world of data. You will work on cutting-edge products that are redefining the way we interact with data, from databases and data integration to big data analytics, messaging, and real-time analytics.
With a strong focus on building the data platform for the age of AI, you will have the opportunity to power a new class of data-first applications and contribute to the development of products like Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, and many more.
Why you should learn this:
High demand for experienced software engineers in the cloud-enabled world, with a projected growth rate of 21% by 2028.
Expected Salary: A competitive salary range of $141,000 - $300,000 per year, depending on experience and location.
How it works:
- Develop a deep understanding of cloud computing, data engineering, and AI/ML concepts.
- Collaborate with cross-functional teams to design, implement, and deploy scalable data platforms.
- Stay up-to-date with the latest Azure services, features, and best practices to drive innovation and efficiency.
Core Concepts to Master
Cloud Computing Fundamentals
Understand the basics of cloud computing, including IaaS, PaaS, and SaaS, and how they relate to Azure services like Virtual Machines, Storage, and Networking.
Data Engineering Principles
Learn about data engineering principles, including data warehousing, ETL, and data governance, and how they apply to Azure services like Azure Synapse Analytics and Azure Data Factory.
AI/ML Concepts
Get familiar with AI/ML concepts, including machine learning algorithms, deep learning, and natural language processing, and how they relate to Azure services like Azure Machine Learning and Azure Cognitive Services.
Interview Questions (Beginner)
- What is cloud computing, and how does it relate to Azure services?
- Can you explain the difference between IaaS, PaaS, and SaaS?
- How do you ensure data security and governance in a cloud-enabled world?
Job Overview
Advance Questions
- • Can you design a scalable data platform using Azure services like Virtual Machines, Storage, and Networking?
- • How do you optimize data processing and analytics using Azure services like Azure Synapse Analytics and Azure Data Factory?
- • Can you develop a machine learning model using Azure Machine Learning and deploy it to production?