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Data Infrastructure Engineer

Job Location:

Taipei City

Type of Job:

Full Time

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.


  • 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.

  • Consistently professional demeanor in alignment with our values of integrity and excellence in the workplace.

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