Redefine how Microsoft measures, monitors, and optimizes its global business operations using AI, data, and transformative user experiences.
Requirements
- 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python OR equivalent experience.
- 2+ years of experience with any of the following: SQL Server, Synapse, Azure Data Lake, Azure Data Factory, Databricks or equivalent technologies.
- Exposure to Microsoft Azure or other cloud platforms (GCP, AWS).
- Familiarity with AI/ML fundamentals, tools (Azure ML, OpenAI), or data analytics workflows.
- Understanding of version control systems (e.g., Git) and DevOps practices.
Responsibilities
- Design, develop, deploy, and operate scalable cloud-based data, analytics, automation and tooling solutions using modern data platforms and Cloud services.
- Integrate AI capabilities such as Azure OpenAI, Cognitive Services, and ML models to enhance system intelligence and user productivity.
- Apply engineering best practices as you design and deliver high-quality, scalable solutions.
- Own your solution end-to-end through design, implementation, and operations.
- Building and managing Extract, Transform, Load (ETL) pipelines.
- Data Visualization: Represent key data insights visually to provide meaningful information to end-users.
- Implement robust monitoring, logging and alerting for proactive issue detection.
Other
- This role follows a hybrid work model, requiring on-site presence at our Redmond campus three days a week.
- Collaborate cross-functionally across stakeholders, product managers, and other engineers to deliver integrated, customer-focused experiences.
- Contribute to the evolution of Microsoft’s data platforms through technical feedback and innovation.
- Embody our culture and values.
- Microsoft is an equal opportunity employer.
