Software Engineer II
Microsoft Bengaluru, Karnataka, India
Job Description
"Join Microsoft's Azure Data engineering team as a Software Engineer II and contribute to the transformation of analytics in the world of data."
As a Software Engineer II at Microsoft, you'll have the opportunity to work on cutting-edge products like databases, data integration, big data analytics, and business intelligence. Our team is dedicated to building the data platform for the age of AI, powering a new class of data-first applications.
You'll be part of a collaborative and innovative environment where you can envision what can be and take your career further. With a focus on cloud-enabled technologies, you'll have the chance to work on a wide range of projects and contribute to the development of our products.
Why you should learn this:
The demand for skilled software engineers with expertise in data engineering and cloud technologies is high, with a projected growth rate of 13% in the next 5 years.
Expected Salary: $141,000 - $250,000 per year, depending on experience and location.
How it works:
- Learn the fundamentals of software engineering, including programming languages, data structures, and algorithms.
- Gain experience with cloud technologies, such as Azure and AWS, and learn about data engineering concepts, including data warehousing, ETL, and data governance.
Core Concepts to Master
Cloud Technologies
Learn about the fundamentals of cloud computing, including scalability, availability, and security. Understand how to design and deploy cloud-based applications and services, including Azure and AWS.
Data Engineering
Learn about the principles and practices of data engineering, including data warehousing, ETL, data governance, and data quality. Understand how to design and implement data pipelines, data lakes, and data warehouses.
Azure Data Services
Learn about the various data services offered by Azure, including Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, and Azure Data Factory. Understand how to design and implement data solutions using these services.
Interview Questions (Beginner)
- What is cloud computing and how does it relate to data engineering?
- What are the key principles of data engineering and how do they apply to data pipelines and data warehouses?
- How do you ensure data quality and governance in a data engineering project?
Job Overview
Advance Questions
- • Design a data pipeline using Azure Data Factory and Azure Cosmos DB. What are the key considerations and trade-offs?
- • How would you implement data governance and data quality in a large-scale data engineering project?
- • What are the key differences between Azure SQL DB and Azure Cosmos DB, and when would you choose one over the other?