Software Engineering • Mid-Level

Who you are

You have a solid foundation in software engineering principles and are eager to contribute to innovative projects. With experience in cloud technologies, you understand the importance of building scalable and reliable systems. You thrive in collaborative environments and are excited about working with data-driven applications. Your problem-solving skills enable you to tackle complex challenges, and you are passionate about leveraging data to drive insights and improvements.

You have hands-on experience with Azure services, particularly in data engineering and analytics. Familiarity with databases such as Cosmos DB and PostgreSQL is essential, as you will be working on projects that require efficient data management and retrieval. You are comfortable with big data technologies and understand the nuances of working with structured and unstructured data.

What you'll do

In this role, you will be part of the Azure Data engineering team, focusing on the development and enhancement of big data analytics solutions. You will collaborate with cross-functional teams to design and implement features that improve the performance and reliability of Microsoft's data platform. Your responsibilities will include building and maintaining data pipelines, optimizing database performance, and ensuring the integrity of data across various applications.

You will also engage in troubleshooting and resolving issues related to data processing and analytics. Your contributions will directly impact the efficiency of data workflows and the overall user experience. As part of a dynamic team, you will have the opportunity to mentor junior engineers and share your knowledge of best practices in software development and data management.

What we offer

Microsoft provides a collaborative and inclusive work environment where innovation thrives. You will have access to cutting-edge technologies and the opportunity to work on projects that have a significant impact on the industry. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in shaping the future of data analytics and cloud computing.