The Azure Global Strategy and Pricing Data Science team in Business Planning is looking to take our cloud pricing to the next level. Are you looking for an opportunity to be part of one of the most innovative teams and help to create the best user experience and business models in the Cloud? Do you want to be a Senior Data Engineer on an elite Data Science team? Are you passionate about using data to improve customer experiences and business performance? Do you have strong technical data skills and a desire to use those skills to improve decision making for pricing in Microsoft’s cloud services? If so, we’d love to hear from you! We are looking for a detail-oriented data engineer to take ownership and be responsible for the development and implementation of our data pipeline for pricing data science.

Responsibilities

The Azure Global Strategy & Pricing Analytics Data Scientist will be using data to deliver pricing prototypes and actionable pricing insights that drive improvements to the Azure platform and its customers.

• Design, develop, and maintain data pipelines, back-end, and front-end services for reporting, monitoring, analysis, and related functions.
• Work in collaboration with teammates to ensure reliable and trust-worthy data for critical business decisions to improve reliability, scalability, and efficiency. • Building data processing tools, libraries, frameworks and performing and getting insights from data analysis
• Learning and using tools like Azure Data Factory, Azure Data Explorer, PowerBI, Python and more public and Microsoft internal tools
• Growing data engineering culture and best practices
•  

Qualifications

• Deep practical hands-on experience in Synapse, Azure Databricks, Azure Data Factory, Azure Data Lake V2, Azure Purview, and Power BI / Azure Analysis Services
• Experience in using Azure Storage, Virtual Networks, Virtual Machines
• Experience using technologies such as HDInsight and other Azure Data Service
• Work collaboratively with data engineering teams as required to acquire all necessary data to support project needs.
• Continuously learn about pricing analytics industry trends and keep the key stakeholders educated
• Ship high-quality, well-tested, secure, and maintainable code, and continuously improve the tech stack to maximize the data engineering efficiency.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.