Data Engineer – Construction Quality

Microsoft Cloud Operations + Innovation (CO+I) is the team behind the cloud. CO+I is responsible for delivering over 200 Microsoft web portals, Live and Online Services around the world including infrastructure, security and compliance, operations, globalization, and manageability. Our focus is on smart growth, high efficiency, and to deliver trusted experience to customers and partners worldwide. 

Our datacenter delivery team is looking for a data professional to bring their skills to the construction quality space. Our team maintains and governs processes, delivers data, metrics, and analytics, and provides process automation to improve our predictability and quality in our datacenters. The Data Engineer - Construction Quality will be part of the global team and lead the data and metrics program to provide analytics and insights, automation, and drive platform maturity to our tooling, applications, and  suite of visualization and reporting products. 

 Our ideal candidate will have: 

• In-depth knowledge of the business, its data landscape, and the lineage of our data across multiple areas 
• A customer- and/or stakeholder-oriented focus by understanding their needs and perspectives.
• Expertise in data sources and quality to identify and leverage data across multiple sources, understands data requirements, and evaluates the sufficiency of data for addressing relevant and impactful business questions.  
• Expertise in data, business, and customer needs to evaluate and determine ideal analytical and inferential techniques to address business questions.  

They will also: 

• Share insights and analytical expertise to tell stories of analyses through one or more means.  
• Builds, supports, and/or consults others on the execution of formal experiments or prototypes/proofs of concepts, to evaluate the impact of new or changed features or processes.  
• Identifies and promotes methods that create efficiency in core work related to analytics and reporting that are reusable, readily discoverable by decision-makers, self-service, and directed to meaningful interpretation of data and driving business decisions.  
• Understands the relationship between analytical model(s) and business objectives.  
• Maintains expertise in data privacy requirements, responsible and ethical data handling practices, and models compliance with classification and governance rules and regulations. 

Some useful skills they may possess: 

Algorithm Design and Implementation - The ability to design, analyze, implement, optimize, profile and experimentally evaluate computer algorithms. Includes knowledge of practical applications of algorithms in software engineering. 

Analytical Skills - The ability to review quantitative or conceptual problems and situations to draw appropriate and valid conclusions from data presented. This includes analyzing data to determine the most significant elements, identify common elements and themes in situations and actions, and recognize cause and effect relationships. 

Automation - Knowledge of automation technologies, methods, and processes used for quality and cost improvements.