Data Infrastructure Engineer

About the role

The ASUS Robotics & AI Center in Taipei is looking for a Data Infrastructure Engineer. The role focuses on designing and implementing efficient, low-latency data pipelines, selecting data science and big data frameworks, and sharing tools and best practices with other teams.

Key responsibilities

• Design and implement resource-efficient, low-latency data pipelines.
• Explore, evaluate and select suitable frameworks for data science and big data processing.
• Provide tools and best practices for data access control, data versioning and migration strategies for other teams.
• Write clean, maintainable and well-commented source code.
• Solve problems proactively with a research-minded approach, weighing the pros and cons of different approaches.
• Read relevant literature independently and share insights with stakeholders.
• Work in a cross-functional team that owns the full software lifecycle and collaborate on software architecture decisions.

Required profile

• Master's degree or PhD in computer science, electrical engineering, mechanical engineering, applied mathematics or a related field.
• Exceptional track record in data engineering and operations.
• Strong verbal and written communication skills and a professional demeanor aligned with integrity and excellence.

Required skills

• Expertise in SQL and NoSQL databases, system security and access control.
• Familiarity with data warehouses, data lakes, data pipelines and batch and stream processing.
• Understanding of software development best practices: coding standards, code reviews, design patterns, source control and test automation.
• Expertise in at least one programming language such as C, C++, Java, Python, JavaScript or Go.

What we offer

• Work with experts from around the world.
• Top-notch facilities and compensation.
• A fully English-speaking work environment in Taiwan.
• A combination of startup, academia and large international enterprise elements.