Microsoft Senior Software Engineer- Data Engineering 

Taiwan, Taoyuan City 

488266608

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 6+ years experience in business analytics, software development, data modeling or data engineering work.
• Software development using languages like C#, JavaScript or Java.
• Experience using a variety of data stores, including data warehouses, RDBMS, in-memory caches, and document Databases.
• Proficiency with SQL and NoSQL and hands-on experience using distributed computing platforms.
• Experience in ETL/ELT, Data warehousing, data pipelines and/or Business Intelligence Development.
• Experience developing on cloud platforms (i.e. Azure, AWS) in a continuous delivery environment.
• Hands-on experience using ML, anomaly detection, predictive analysis, exploratory data analysis.
• A strong understanding of the value of Data, data exploration and the benefits of a data-driven organizational culture.
• Strong problem solving, design, implementation, and communication skills.
• Strong intellectual curiosity and passion for learning new technologies.

Preferred Qualifications:

• Experience with large data engineering projects.
• Ability to provide technical leadership to other developers.
• Firm sense of accountability and ownership for end-to-end project lifecycle.
• Strong collaborator who can clearly explain work, listen to peers and customers, embodies growth mindset, and work effectively cross group and within the team.
• Experience working with large data sets in SQL/Data Bricks/PySparkSQL/Azure Synapse/Azure Data Factory/Azure Fabric or similar.
• Deep practical experience in one or more of the following is preferred: AI and Machine Learning.
• Business Intelligence experience or visualization with tools such as Power BI is also beneficial.
• Experience implementing data systems in C#/Python/Scala or similar.
• Basic Knowledge on Dynamics Platform would be an added advantage

• Leading, Architecting and Implementing Data Engineering solutions.
• Champion data-driven decisions for feature prioritization and delivery.
• Managing multiple projects, including timelines, customer interaction, feature tradeoffs, etc.
• Design and implement scalable data models, data pipelines, data storage, management, and transformation solutions for real-time decisioning, reporting, data collecting, and related functions.
• Leveraging machine learning(ML) models knowledge to select appropriate solutions for business objectives.
• Ship high-quality, well-tested, secure, and maintainable code.
• Develop and maintain software designed to improve data governance and security.
• Troubleshoot and resolve issues related to data processing and storage.
• Collaborate effectively with teammates, other teams and disciplines and drive improvements in engineering at the org level.
• Experiment with and recommend new technologies that simplify or improve the tech stack.
• Work to help build an inclusive working environment.