Senior Software Engineer
Microsoft Bengaluru, Karnataka, India
Job Description
"Embark on a transformative journey as a Senior Software Engineer at Microsoft, where innovation meets limitless possibilities."
As a Senior Software Engineer on Microsoft's Azure Data engineering team, you'll be at the forefront of revolutionizing analytics in the world of data. With products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence, you'll have the opportunity to shape the future of data-driven innovation.
Our mission is to build the data platform for the age of AI, empowering a new class of data-first applications. Join us in this exciting endeavor and contribute to the development of cutting-edge technologies that will transform industries and improve lives.
Why you should learn this:
The demand for skilled Senior Software Engineers in the data engineering space is at an all-time high, with a projected growth rate of 13% annually.
Expected Salary: $141,000 - $250,000 per year, depending on location and experience.
How it works:
- Develop a deep understanding of Azure Data engineering products and services, including databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.
- Collaborate with cross-functional teams to design, develop, and deploy scalable and secure data engineering solutions.
Core Concepts to Master
Cloud-Native Data Engineering
Learn about the principles and best practices of building data engineering solutions on cloud-native platforms, including Azure Kubernetes Service (AKS), Azure Functions, and Azure Data Factory.
Big Data Analytics
Discover how to design and implement big data analytics solutions using Azure Synapse Analytics, Azure Databricks, and Azure HDInsight.
Real-Time Analytics and Messaging
Explore the world of real-time analytics and messaging using Azure Event Grid, Azure Service Bus, and Azure Cosmos DB.
Business Intelligence and Reporting
Learn how to create business intelligence and reporting solutions using Power BI, Azure Analysis Services, and Azure SQL Database.
Interview Questions (Beginner)
- What do you know about Azure Data engineering products and services?
- Can you explain the difference between Azure Synapse Analytics and Azure Data Factory?
- How would you design a data pipeline using Azure Data Factory?
Job Overview
Advance Questions
- • Can you describe a scenario where you would use Azure Event Grid for real-time analytics?
- • How would you optimize a big data analytics solution using Azure Databricks?
- • Can you explain the concept of cloud-native data engineering and how it applies to Azure Data engineering?