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Microsoft is expanding its Azure Data engineering team to develop advanced GenAI products. The position involves designing high-performance systems and requires a Bachelor's degree in Computer Science alongside robust coding skills in various programming languages. This role offers a chance to engage with cutting-edge technologies in a collaborative environment that emphasizes growth and innovation.
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 in 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 big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data–structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.
The Synapse Data Science team provides the Data Science and Artificial Intelligence experiences in Microsoft Fabric, providing Fabric customers with complete end-to-end data science workflows for the purpose of data enrichment and business insights. Join our team to help build the services that power these experiences.
We are expanding our team to bring together the best in big data management, machine learning, and artificial intelligence. We work with and contribute to state-of-the-art open-source packages, including Apache Spark, Koalas, Pandas, Dask, Sklearn, MLFlow, TensorFlow, and PyTorch, as well as generative AI. We combine those with our own tech to build secure, reliable, scalable, and high-performance machine learning platforms. With our platforms, we strive to enable our customers to follow the principles of responsible AI: Fairness, Inclusiveness, Reliability & Safety, Privacy & Security, Transparency, and Accountability.
You will be an important part of a team of highly motivated and talented individuals and this is a great opportunity to challenge yourself, grow your career, and be part of the fastest growing field in computer science and beyond. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Required/Minimum Qualifications:
Additional Or Preferred Qualifications
Software Engineering IC2 - The typical base pay range for this role across Canada is CAD $67,100 - CAD $131,400 per year.
Find Additional Pay Information here.
Microsoft will accept applications until June 11, 2025.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration without regard to various protected characteristics. Accommodations are available for applicants with disabilities during the application process.