Data Engineer

Overview

Does pioneering new and innovative ways to reimagine and transform end-user productivity across the breadth and depth of Microsoft's global workforce sound exciting to you Are you passionate about the future of work, driving innovation and showcasing an employee experience blueprint that inspires customers and partners to navigate their digital transformation If so, Microsoft Digital (MSD) team is an excellent place for you to grow your career.  

Microsoft Digital (MSD)s mission is to power, protect, and transform the employee experience at Microsoft around the world. Come build community, explore your passions, do your best work and be a part of the team within Microsoft Digital (MSD), is the team that innovates, creates, and delivers the vision for Microsoft's employee experience, human resources, corporate and legal affairs, global real estate products, and runs Microsoft's internal network and infrastructure, plus builds campus modernization and hybrid solutions. You will leverage the latest technologies and focus on empowering Microsoft employees with the tools and services that define both the physical and digital future of work.  

Microsoft's mission is to empower every person and every organization on the planet to achieve more, and we're dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.  

We are seeking a highly skilled and motivated Data Engineer with a solid foundation in software development and Data Enginering skills to join our dynamic team. In this role, you will support the design, development, and maintenance of CI/CD pipelines, automation processes, and cloud infrastructure using Azure tech stack & DevOps tools and practices. This role will also provide exciting opportunities to work on AI-driven automation solutions, where you will leverage machine learning and AI tools, co-pilot abilities & LLM's to optimize processes, improve operational efficiency, and enhance our Build, Testing, deployment & DevOps pipelines. 

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.

Qualifications

Required Qualifications: 

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, data modeling or data engineering work
• OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field
• OR equivalent experience.
• Industry experience in a deep technical role of which at least 2 years building products in Business Intelligence & Analytics, Cloud services, Productivity applications/ services, etc. 
• Experience with data pipelining and transformation technologies such as Spark and experience on Azure Data tech stack would be a plus. 
• Hands-on experience with big data technologies as well as data analytics tools.
• Excellent data visualization skills to be able to present insights that drive business impact. 
• Knowledge of Machine Learning/Predictive modeling a significant plus. 
• Strong team player with excellent communication & collaboration skills. 
• Strong track record of self-directed execution.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications: 

• Prior experience of DevOps.
• Prior experience of working with Global teams and multiple stakeholders. 
• Prior experience of building models and operationalizing them in production.  
• Problem solving - Ability to clearly understand problems, decompose them into smaller problems; and technical articulation skills so that it is easy for the team to collectively solve.  
• Ability to work both independently and collectively in a fun team environment with minimal supervision.  
• Good communication and stakeholder management skills.  

#MSD #MSDJOBS #EEJOBS 

Responsibilities

• Design and implement scalable, reliable, and secure software solutions using microservices, event-driven architecture, and cloud infrastructure.  
• Develop and maintain CI/CD pipelines with Azure DevOps, automating build, test, and deployment while integrating AI/ML for predictive diagnostics and intelligent automation. 
• Build reusable components, frameworks, and libraries that enable faster development and higher quality.  
• Apply best practices of CI/CD, infrastructure as code, observability, and debugging to ensure fast and smooth delivery of software products.  
• Leverage AI/ML techniques and tools to solve complex problems and create innovative solutions.  
• Rapid agility with Proof of Concepts especially with AI/ML.