Software Engineer 2
Microsoft Hyderabad, Telangana, India
Job Description
"Join the innovative team at Microsoft Azure Data Engineering and unlock limitless possibilities for your career as a Software Engineer 2."
As a Software Engineer 2 at Microsoft Azure Data Engineering, you will be at the forefront of revolutionizing analytics in the world of data. With cutting-edge products like Microsoft Fabric, Azure SQL DB, and Power BI, you will have the opportunity to build a data platform that powers a new class of data-first applications. Collaborate with passionate innovators to envision what can be and take your career further.
In this role, you will be responsible for designing, developing, and testing software applications that meet the needs of our customers. You will work closely with cross-functional teams to ensure that our products are scalable, reliable, and secure. If you are passionate about data engineering, AI, and innovation, this is an exciting opportunity to join a world-class team and make a real impact.
Why you should learn this:
The demand for skilled software engineers in data engineering is extremely high, with a projected growth rate of 13.1% by 2028.
Expected Salary: $141,000 - $250,000 per year, depending on location and experience.
How it works:
- Develop a deep understanding of data engineering concepts, including data processing, storage, and analytics.
- Design and implement scalable, reliable, and secure software applications using Azure services such as Azure SQL DB, Azure Cosmos DB, and Azure Data Factory.
Core Concepts to Master
Data Engineering Fundamentals
Understand the basics of data engineering, including data processing, storage, and analytics. Learn about data pipelines, data warehousing, and data governance.
Azure Services
Get hands-on experience with Azure services such as Azure SQL DB, Azure Cosmos DB, Azure Data Factory, and Azure Synapse Analytics. Learn how to design and implement scalable, reliable, and secure data solutions using these services.
Cloud Computing
Understand the principles of cloud computing and how it applies to data engineering. Learn about cloud-based data storage, processing, and analytics, and how to design and implement cloud-based data solutions.
Machine Learning and AI
Learn about the basics of machine learning and AI, and how they apply to data engineering. Understand how to use Azure services such as Azure Machine Learning and Azure Cognitive Services to build and deploy machine learning models.
Scalability and Performance
Understand the principles of scalability and performance in data engineering. Learn how to design and implement scalable and high-performance data solutions using Azure services such as Azure SQL DB and Azure Cosmos DB.
Interview Questions (Beginner)
- Can you explain the difference between data warehousing and data mart?
- How do you design a data pipeline?
- What is the difference between a database and a data warehouse?
Job Overview
Advance Questions
- • Can you describe a scenario where you would use Azure Databricks for data processing?
- • How do you optimize the performance of a data warehouse?
- • Can you explain the concept of data governance and how it applies to data engineering?