Data Infrastructure Engineer

Taipeionsitemid

Posted 60mo ago · via Workable

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About this role

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.…

Read the full description on ASUS Robotics & AI Center's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

Skills match

For this role: javascript, python, java, c++, sql…

Level fit

This role is mid-level. We check your trajectory against it.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is based in Taipei. We weight your proximity and willingness to relocate.

Score yourself on this role.

Free · no card · written explanation included

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

javascriptpythonjavac++sqlteams

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