Are you interested in working for one of the most exciting teams in Microsoft, that relentlessly focused on customer needs and advancing Microsoft's cloud first strategy? Interested in a start-up environment, passionate about cloud computing technology and driving growth in one of Microsoft's core businesses? Then the Azure Commerce + Ecosystem is for you!
Microsoft Cloud and Data Sciences team is focused on the success of Microsoft Cloud customers, and partners.Our analysis services and machine learning models answer key questions helping our customers and partners improve business models and services. Our team also provides key metrics about cloud adoption across Microsoft and inform internal business decisions. We do this with a team of people with diverse perspectives and backgrounds who continually identify points of engagement, measure outcomes, learn from our customers and partners, and improve business models and services. In this way we make data-driven insights actionable with changes to Microsoft Cloud products and services to make them easier to use, understand, and learn about. The institutional knowledge we build as a result amplifies our impact across Microsoft to help make customer and partner success our success.
Required Qualifications:
- Bachelor’s degree in Computer Science, Data Analytics or equivalent.
- 4+ years of software engineering experience, with majority of that time in building data-driven systems on Microsoft analytics stack – Azure Data Lake Storage, Azure Data Factory, Azure Synapse, Azure Databricks and Spark etc.
- Strong proficiency with at least one of the languages C#, Scala, Python or Java
- Demonstrable ability in building scalable, highly performant data pipelines, ETL/ELT processes, data modeling and Data Warehousing.
- Strong verbal and written communication skills, problem-solving skills and ability to work through ambiguous situations
Preferred Qualifications:
• Ability to learn and grasp concepts quickly in a fast-paced environment is critical to success.
• Familiarity with Containers and Kubernetes, GraphQL services is a plus
• Experience working in cloud platform such as Azure is an advantage
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. 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.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
#CXJOBS
- Design & develop data platform that will enable insights to analyze and measure the rhythm of business
- Design and build data products by acquiring and integrating high volume of data from diverse sources like ADLS,Azure SQL etc.and curating the data to support business operational / reporting requirements
- Implement best practices in building data pipelines, and richer insights: data integrity, data quality, performance optimization and automation Write clean, well-intended code with an emphasis on quality, simplicity, and maintainability, while also inspiring others to do the same through code reviews, 1:1 mentoring, etc.
- Work with multiple client partner teams to implement cohesive end-to-end experiences
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