Data Infrastructure Engineer
Job Location
Taipei City
Type of Job
Full Time
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.
Proactively address problems with a research-thinking mindset and critically think about the pros and cons of different approaches.
Independently read relevant literature and share your insights and knowledge with other stakeholders.
Work in a cross-functional team that takes ownership of the full software lifecycle.
Collaborate with other teams to make optimal software architecture design decisions.
Qualifications
Master’s degree or PhD in computer science, electrical engineering, mechanical engineering, applied mathematics, or a related field.
Expertise and exceptional track record in data engineering and operations, including SQL and noSQL databases, system security and access control.
Familiarity with and knowledge of the advantages and disadvantages of data warehouses, data lakes, data pipelines and batch and stream processing.
Exceptionally strong understanding of fundamentals and problem solving skills.
Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.
Expertise in at least one programming language, including C, C++, Java, Python, JavaScript, or Go.
Strong verbal and written communication skills.
Roles & 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.
Proactively address problems with a research-thinking mindset and critically think about the pros and cons of different approaches.
Independently read relevant literature and share your insights and knowledge with other stakeholders.
Work in a cross-functional team that takes ownership of the full software lifecycle.
Collaborate with other teams to make optimal software architecture design decisions.
Qualifications
Master’s degree or PhD in computer science, electrical engineering, mechanical engineering, applied mathematics, or a related field.
Expertise and exceptional track record in data engineering and operations, including SQL and noSQL databases, system security and access control.
Familiarity with and knowledge of the advantages and disadvantages of data warehouses, data lakes, data pipelines and batch and stream processing.
Exceptionally strong understanding of fundamentals and problem solving skills.
Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.
Expertise in at least one programming language, including C, C++, Java, Python, JavaScript, or Go.
Strong verbal and written communication skills.
About us
The ASUS Robotics and AI Center is a world-class research and development laboratory in Taipei that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists are dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence. Through our drive to pursue the boundless possibilities of these nascent technologies and meet the difficult challenges they present head-on, we will achieve breakthroughs that will propel future innovations and empower people around the world with new capabilities of robotics and AI computing.