Job Description
Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture. Within Microsoft Fabric platform team, the Insights and Analytics team is dedicated to building and maintaining internal analytics and reporting platform hosted on Microsoft Fabric. This platform delivers insights to Azure Data Engineering team leaders, Product Managers, Marketing, Finance and Sales. Additionally, the team serves as the initial customer of newly developed products and features, running them in a production environment and collaborating closely with product managers and engineers to provide invaluable feedback. The Data Engineering team within the Azure Data Insights and Analytics organization is primarily tasked with maintaining and advancing our data platform. This platform encompasses Spark development, with a significant emphasis on PySpark and Spark SQL within Microsoft Fabric notebooks. Our team places high importance on code optimization, metadata-driven orchestration, and implementing best practices in DevOps. We are seeking a skilled Data Engineer who can enhance our platform using modern technologies while ensuring reliable and high-performance operations. You will have the autonomy to define your area of expertise and cultivate skills that will propel your career forward. Your daily routine will include participating in standup meetings, managing work items based on your capacity, collaborating with the team’s Program Managers to define new projects or initiatives, and, most importantly, engaging in development activities. In addition to traditional Data Engineering tasks, you will directly interact with the teams developing the tools we utilize, enabling you to provide direct product feedback and witness your input driving changes in the products over time. Our team is dedicated to reporting on the health of Azure Data products and contributing to their overall effectiveness and utility.
