Software Engineer II
Microsoft Hyderabad, Telangana, India
Job Description
"Unlock the full potential of your career in software engineering at Microsoft, where innovation meets limitless possibilities."
As a Software Engineer II at Microsoft, you'll be part of a dynamic team that's shaping the future of data analytics and AI-driven applications. With a wide range of products and services under our portfolio, including Azure Data Factory, Azure Synapse Analytics, and Power BI, you'll have the opportunity to work on cutting-edge projects that transform the way organizations analyze and make decisions.
Join our Azure Data engineering team and contribute to building the data platform for the age of AI. Collaborate with passionate innovators, visionaries, and experts to push the boundaries of what's possible in data engineering.
Why you should learn this:
According to Glassdoor, the demand for software engineers in the United States is expected to grow by 21% by 2028, with Azure and cloud-related skills being in high demand.
Expected Salary: $141,000 - $250,000 per year, based on national averages in the United States, with experience and location influencing salary.
How it works:
- Develop a strong foundation in cloud computing, data engineering, and software development principles.
- Learn Azure services and tools, such as Azure Data Factory, Azure Synapse Analytics, and Power BI, through hands-on experience and online training resources.
Core Concepts to Master
Cloud Computing Fundamentals
Understand the principles of cloud computing, including scalability, reliability, and security, and learn how to design and deploy cloud-based applications.
Azure Data Engineering
Learn about Azure services and tools for data engineering, including Azure Data Factory, Azure Synapse Analytics, and Power BI, and understand how to design and implement data pipelines, data warehouses, and business intelligence solutions.
Software Development Principles
Understand software development principles, including design patterns, coding standards, and testing methodologies, and learn how to apply these principles to develop high-quality software applications.
Interview Questions (Beginner)
- What do you know about cloud computing and Azure?
- Can you explain the difference between a data warehouse and a data mart?
- How would you design a data pipeline using Azure Data Factory?
Job Overview
Advance Questions
- • How do you ensure the scalability and reliability of a cloud-based application?
- • Can you describe a scenario where you would use Azure Synapse Analytics over Azure Data Factory?
- • How do you approach testing and debugging a complex software application?