Microsoft Software Engineer Data Engineering CoreAI 

Taiwan, Taoyuan City 

832719553

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript or Python
• • OR equivalent experience.
• Experience designing data models for projects and translating business requirements into design specification documents to model the flow and storage of data across data pipelines.

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.

• identifyopportunities tooptimizedata tools used to transform, manage, and access data across teams, scaling with efficiency and reduced time to new data insights.
• Writes code to test advanced storage and availability of data platforms and leads the implementation of sustainable design patterns to make data platforms more usable and robust to failure and change.
• Identifiestrends across relevant data sources that allow others to develop insights to plan future data architecture designs or solution fixes.
• Uses and contributes to the development of advanced and reusable modification techniques and operations (e.g., inserting, aggregating, joining) to transform raw data into a form (e.g., dimensional data model) that is compatible with downstream data consumers, databases, and formats that support applications,analyticsand reporting. Expands the application and reusability of software, query languages, and computing tools (e.g., cloud-based) to transform raw data from multiplepipelines..
• Identifiesmultiple, complex data sources and builds advanced code to extract raw data fromidentifiedupstream sources using query languages, tools, or machine learning algorithms, while assuring quality, scale, and reliability of the data across the pipeline. Contributes to the code review process by providing feedback and suggestions for implementation. Drives the business case to implement advanced orchestration techniques that automate data extraction logic for many sources of data. Plans and strategizes the use of advanced data protocols, reduction techniques, and aggregation approaches tovalidatethe quality of extracted data across the data pipeline, consistent with the service level agreement (SLA).Refines and improves methods and tools used to track and maintain source control and assists in the development of versioning strategy.Applies deep knowledge of data tovalidatethat the correct data is ingested and that the data is applied accurately across the pipeline. Creates data architectural documents for end-to-end systems.