Microsoft Data Engineer II 

Taiwan, Taoyuan City 

65405399

exciting opportunities to work on AI-driven automation solutions, where you willmachine learning and AI tools, co-pilot abilities & LLM’s toprocesses, improve operational efficiency, and enhance our Build, Testing, deployment & DevOps pipelines.

Required Qualifications:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, data modeling or data engineering workOR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field
• 3 + years 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 teamplayer with excellent communication & collaboration skills.
• Strongtrack recordof self-directed execution.

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 communicationand stakeholder management skills.

• Design and implement scalable, reliable, and secure software solutions using microservices, event-driven architecture, and cloud infrastructure.
• Develop andmaintainCI/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.