Software Engineer 2
Microsoft Bengaluru, Karnataka, India
Job Description
"Unlock the doors to a world of limitless innovation and career growth at Microsoft as a Software Engineer 2, working on the cutting-edge Azure Data engineering team."
As a Software Engineer 2 at Microsoft, you will be part of a dynamic team that's revolutionizing the world of data analytics with innovative products like Microsoft Fabric, Azure SQL DB, and Power BI.
Our mission is to build the data platform for the age of AI, empowering a new class of data-first applications. You will have the opportunity to work with a diverse range of technologies, collaborate with passionate innovators, and take your career to new heights.
Why you should learn this:
With the rapid growth of data-driven applications and the increasing demand for AI-powered solutions, the need for skilled software engineers in data engineering is at an all-time high.
Expected Salary: $141,000 - $250,000 per year, depending on location, experience, and performance.
How it works:
- Develop and maintain high-quality code for Azure Data engineering products, ensuring scalability, reliability, and performance.
- Collaborate with cross-functional teams to design and implement new features, services, and tools that meet business and customer needs.
Core Concepts to Master
Cloud-Enabled Data Engineering
Learn to design, build, and deploy data engineering solutions on Microsoft Azure, leveraging cloud-native services like Azure SQL DB, Azure Cosmos DB, and Azure Data Factory.
Data Integration and Analytics
Gain expertise in integrating data from various sources, processing it in real-time, and providing actionable insights using tools like Azure Data Factory, Azure Synapse Analytics, and Power BI.
Big Data and NoSQL Databases
Understand the concepts and best practices for working with big data and NoSQL databases, including Azure Cosmos DB, Azure PostgreSQL, and Azure SQL DB.
Interview Questions (Beginner)
- What is Azure Data engineering, and how does it relate to AI?
- Can you explain the difference between a database and a data warehouse?
- How do you ensure data quality and integrity in a data engineering pipeline?
Job Overview
Advance Questions
- • Design a data engineering solution for a real-world business problem using Azure Data Factory and Azure Synapse Analytics.
- • Explain the trade-offs between using a relational database versus a NoSQL database for a given use case.
- • How do you optimize the performance of a data engineering pipeline that involves real-time processing and analytics?