Lead the data infrastructure design and implementation for large systems with a focus on quick iterations and maintainability.

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.

Lead cross-functional teams that take ownership of the full software lifecycle.

Collaborate with other teams to make optimal software architecture design decisions.

Requirements Master’s degree or Ph D in computer science, electrical engineering, mechanical engineering, applied mathematics, or a related field.

5+ years of industry work experience or equivalent.

Expertise and exceptional track record in data engineering and operations, including SQL and no SQL databases, system security and access control.

Hands-on experience with designing and developing 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, Java Script, 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