Data Infrastructure Engineer

Taipei, Taipei City, Taiwan

ASUS Robotics & AI Center

The ASUS Robotics & AI Center is a research and development laboratory focused on creating innovative technology with a global reach. By breaking technological barriers, we push forward the fields of robotics, AI, cyber-physical systems, and...

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  • 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.

Requirements

  • 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.

Benefits

  • Work with experts from around the world
  • Top-notch facility and compensation
  • Fully English-speaking work environment in Taiwan
  • Combination of the best aspects of a startup, academia, and a large international enterprise
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture Big Data Computer Science Data pipelines Engineering Java JavaScript Mathematics NoSQL PhD Pipelines Python Research Security SQL

Perks/benefits: Startup environment

Region: Asia/Pacific
Country: Taiwan

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