Software Engineering
Microsoft Hyderabad, Telangana, India
Job Description
"Unlock the world of limitless possibilities at Microsoft, where innovation meets collaboration and careers soar."
As a Software Engineer at Microsoft, you'll be part of a dynamic team that's revolutionizing the way we think about data and analytics. Our Azure Data engineering team is at the forefront of this transformation, building cutting-edge products that are changing the game in big data analytics, messaging, and real-time analytics.
Join us in our mission to build the data platform for the age of AI, powering a new class of data-first applications. With a portfolio of products that includes Microsoft Fabric, Azure SQL DB, and Power BI, you'll have the opportunity to work on a wide range of challenging projects that will help you grow as a professional.
Why you should learn this:
With the increasing demand for data-driven solutions, the role of a Software Engineer in Azure Data engineering is in high demand, with a salary range of $141,000 - $250,000 per year.
Expected Salary: $141,000 - $250,000 per year
How it works:
- Design and develop scalable and efficient data processing systems using languages such as Java, C++, and Python.
- Collaborate with cross-functional teams to build and deploy data products, including databases, data integration, and big data analytics.
Core Concepts to Master
Cloud-Based Data Engineering
Understand the principles of cloud-based data engineering, including the use of Azure services such as Azure Storage, Azure Cosmos DB, and Azure Data Factory.
Data Processing and Analytics
Learn about data processing and analytics techniques, including data warehousing, ETL, and data visualization using tools like Power BI and Tableau.
Big Data Technologies
Familiarize yourself with big data technologies such as Hadoop, Spark, and NoSQL databases like Cassandra and MongoDB.
Interview Questions (Beginner)
- What is Azure Data Factory, and how does it fit into the Azure data ecosystem?
- Can you explain the concept of data warehousing and how it relates to data analytics?
- What are some common data processing patterns, and how can they be implemented using Azure services?
Job Overview
Advance Questions
- • Design a data pipeline using Azure Data Factory, including data ingestion, processing, and transformation.
- • Explain how to implement data governance and security best practices using Azure services such as Azure Active Directory and Azure Key Vault.
- • Describe a scenario where you would use Azure Cosmos DB as a data store, and how you would design the data model to optimize performance and scalability.