Software Engineering
Microsoft Bengaluru, Karnataka, India
Job Description
"Unlock the power of innovation at Microsoft and become a key player in shaping the future of data engineering."
As a Software Engineer at Microsoft, you'll join a vibrant community of passionate innovators who are pushing the boundaries of what's possible. With a focus on data engineering, you'll be part of a team that's leading the transformation of analytics in the world of data.
Our Azure Data engineering team is at the forefront of this revolution, developing cutting-edge products like Microsoft Fabric, Azure SQL DB, and Azure Cosmos DB. Join us and be part of building the data platform for the age of AI.
Why you should learn this:
With the rise of AI and data-driven decision-making, the demand for skilled data engineers is skyrocketing. According to the Bureau of Labor Statistics, employment of software developers is projected to grow 21% from 2020 to 2030, much faster than the average for all occupations.
Expected Salary: $141,000 - $250,000 per year, depending on location and experience.
How it works:
- Design and develop scalable, secure, and reliable data engineering solutions using a range of technologies including Azure Data Factory, Azure Synapse Analytics, and Azure Service Bus.
- Collaborate with cross-functional teams to identify business requirements and develop data engineering solutions that meet those needs.
- Develop and maintain high-quality code, following Microsoft's coding standards and best practices.
Core Concepts to Master
Data Ingestion and Integration
Learn how to design and implement data ingestion pipelines using Azure Data Factory, Azure Synapse Analytics, and other tools. Understand how to integrate data from various sources, including relational databases, NoSQL databases, and cloud-based services.
Data Warehousing and Analytics
Discover how to design and implement data warehousing and analytics solutions using Azure Synapse Analytics, Power BI, and other tools. Learn how to create data models, develop analytics models, and deploy them to production.
Cloud-Native Data Engineering
Learn how to design and implement cloud-native data engineering solutions using Azure Functions, Azure Durable Task Framework, and other tools. Understand how to build scalable, secure, and reliable data engineering solutions in the cloud.
Interview Questions (Beginner)
- What is Azure Data Factory, and how does it differ from other data integration tools?
- Can you explain the concept of a data pipeline, and how would you design one using Azure Data Factory?
- What are some common challenges you've faced while working with data engineering tools, and how did you overcome them?
Job Overview
Advance Questions
- • Design a data ingestion pipeline using Azure Data Factory, Azure Synapse Analytics, and other tools. Explain your design decisions and how you would implement it.
- • Develop a data warehousing and analytics solution using Azure Synapse Analytics, Power BI, and other tools. Explain your design decisions and how you would deploy it to production.
- • Design a cloud-native data engineering solution using Azure Functions, Azure Durable Task Framework, and other tools. Explain your design decisions and how you would implement it.