Software Engineer 2
Microsoft Bengaluru, Karnataka, India
Job Description
"Embark on a journey at Microsoft's Azure Data engineering team, where innovators collaborate to transform analytics in the world of data."
As a Software Engineer 2 at Microsoft, you'll be part of a dynamic team that's leading the transformation of analytics in the world of data. With a wide range of innovative products, including Microsoft Fabric, Azure SQL DB, and Azure Cosmos DB, you'll have the opportunity to work on cutting-edge technologies that are shaping the future of data engineering.
From databases and data integration to big data analytics, messaging, and real-time analytics, our portfolio of products is designed to help organizations unlock the full potential of their data. As a Software Engineer 2, you'll be responsible for designing, developing, and delivering high-quality software solutions that meet the needs of our customers.
Why you should learn this:
The demand for skilled software engineers in the cloud and data engineering space is high, with a growing need for experts who can design and develop scalable, secure, and high-performance solutions.
Expected Salary: $120,000 - $180,000 per year, depending on location and experience.
How it works:
- Step 1: Learn the fundamentals of software engineering, including programming languages, data structures, and algorithms.
- Step 2: Gain experience with cloud-based technologies, including Azure and AWS, as well as data engineering frameworks such as Apache Beam and Apache Spark.
Core Concepts to Master
Cloud Computing Fundamentals
Understand the basics of cloud computing, including IaaS, PaaS, and SaaS, as well as cloud security, scalability, and reliability.
Data Engineering Principles
Learn about data engineering principles, including data warehousing, ETL, and data quality, as well as data governance and compliance.
Azure Data Engineering Services
Gain experience with Azure data engineering services, including Azure SQL DB, Azure Cosmos DB, and Azure Data Factory.
Interview Questions (Beginner)
- What is cloud computing, and how does it relate to data engineering?
- How do you design and develop scalable, secure, and high-performance software solutions?
- What are the key principles of data engineering, and how do you apply them in practice?
Job Overview
Advance Questions
- • Can you explain the differences between IaaS, PaaS, and SaaS, and how they relate to cloud computing?
- • How do you approach data governance and compliance in a cloud-based data engineering environment?
- • Can you describe your experience with Azure data engineering services, including Azure SQL DB and Azure Data Factory?