Software Engineer 2
Microsoft Bengaluru, Karnataka, India
Job Description
"Embark on a transformative career journey with Microsoft's Azure Data engineering team, shaping the future of data analytics and innovation."
As a Software Engineer 2 at Microsoft, you'll join a community of passionate innovators driving the transformation of analytics in the world of data. With a wide range of products and services, including Microsoft Fabric, Azure SQL DB, and Power BI, you'll have the opportunity to work on cutting-edge technologies and collaborate with talented individuals from diverse backgrounds.
Our team's mission is to build the data platform for the age of AI, powering a new class of data-first applications. You'll be part of a dynamic and inclusive environment that fosters creativity, experimentation, and growth. With a strong focus on innovation and customer satisfaction, we're looking for talented engineers who can help us shape the future of data analytics and drive business success.
Why you should learn this:
The demand for skilled data engineers and software engineers is on the rise, with a projected growth rate of 13% by 2028, according to the Bureau of Labor Statistics.
Expected Salary: $118,000 - $200,000 per year, depending on location and experience, with opportunities for advancement and bonus incentives.
How it works:
- Gain a deep understanding of data engineering principles, including data warehousing, ETL, and data governance.
- Develop expertise in Azure Data engineering services, such as Azure Data Factory, Azure Synapse Analytics, and Azure Cosmos DB.
Core Concepts to Master
Data Engineering Principles
Learn about data warehousing, ETL, data governance, and data quality, and how to apply these principles to design and implement scalable data pipelines.
Azure Data Engineering Services
Develop expertise in Azure Data Factory, Azure Synapse Analytics, and Azure Cosmos DB, and learn how to use these services to build scalable and secure data solutions.
Data Governance and Security
Understand the importance of data governance and security in data engineering, and learn how to implement data access controls, encryption, and auditing to ensure data compliance and security.
Cloud-Native Architecture
Learn about cloud-native architecture patterns and design principles, and how to apply these principles to build scalable and resilient cloud-based data solutions.
Interview Questions (Beginner)
- What is data engineering, and why is it important?
- How do you design and implement data pipelines?
- What are some common data governance challenges, and how do you address them?
Job Overview
Advance Questions
- • Can you explain the differences between Azure Data Factory and Azure Synapse Analytics?
- • How do you implement data encryption and access controls in Azure?
- • What are some best practices for designing and implementing cloud-native architecture?