Data Infrastructure Engineer

• 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 revi