Software Engineer
Microsoft Bengaluru, Karnataka, India
Job Description
"Join Microsoft's Azure Data engineering team and be at the forefront of revolutionizing analytics in the world of data."
As a Software Engineer at Microsoft, you will be part of a dynamic team that is leading the transformation of analytics in the world of data. With a focus on cloud-enabled innovation, you will have the opportunity to collaborate with passionate innovators who are pushing the boundaries of what is possible.
Microsoft's Azure Data engineering team is responsible for building the data platform for the age of AI, powering a new class of data-first applications. Our portfolio includes a wide range of products, such as databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.
Why you should learn this:
The demand for skilled software engineers in the data engineering space is high, with a projected growth rate of 14.13% in the next 5 years.
Expected Salary: $141,000 - $250,000 per year, depending on location and experience.
How it works:
- Design and develop scalable, secure, and high-performance data engineering solutions using cloud-native technologies such as Azure Data Factory, Azure Synapse Analytics, and Azure Service Bus.
- Collaborate with cross-functional teams to identify business needs and develop data engineering solutions that meet those needs.
- Develop and maintain high-quality code, following industry best practices and Microsoft's coding standards.
- Participate in code reviews, testing, and deployment of data engineering solutions.
- Stay up-to-date with the latest advancements in data engineering, including new technologies, tools, and methodologies.
Core Concepts to Master
Cloud-Native Data Engineering
Design and develop data engineering solutions that are scalable, secure, and high-performance, using cloud-native technologies such as Azure Data Factory, Azure Synapse Analytics, and Azure Service Bus.
Data Integration
Design and develop data integration solutions that enable the movement of data between different systems, using technologies such as Azure Data Factory and Azure Synapse Analytics.
Big Data Analytics
Design and develop big data analytics solutions that enable the processing and analysis of large datasets, using technologies such as Azure Synapse Analytics and Azure Databricks.
Messaging & Real-Time Analytics
Design and develop messaging and real-time analytics solutions that enable the processing and analysis of real-time data, using technologies such as Azure Service Bus and Azure Event Grid.
Business Intelligence
Design and develop business intelligence solutions that enable the visualization and analysis of data, using technologies such as Power BI and Azure Synapse Analytics.
Interview Questions (Beginner)
- What is your experience with cloud-native data engineering technologies such as Azure Data Factory, Azure Synapse Analytics, and Azure Service Bus?
- How do you design and develop scalable, secure, and high-performance data engineering solutions?
- What is your experience with data integration technologies such as Azure Data Factory and Azure Synapse Analytics?
Job Overview
Advance Questions
- • Design a data engineering solution for a real-world scenario, using cloud-native technologies such as Azure Data Factory, Azure Synapse Analytics, and Azure Service Bus.
- • Develop a data integration solution that enables the movement of data between different systems, using technologies such as Azure Data Factory and Azure Synapse Analytics.
- • Design and develop a big data analytics solution that enables the processing and analysis of large datasets, using technologies such as Azure Synapse Analytics and Azure Databricks.