Data Infrastructure Engineer
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Before you apply
LocationTaipei, Taipei City, Taiwan
Work modeon-site
Typefull-time
SenioritySenior
DepartmentEngineering
Company size10,000+ people
PostedAug 16, 2021 · 5y ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
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
Skills
SQL
noSQL
C
C++
Java
Python
JavaScript
Go
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.
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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