Senior Big Data Engineer - DaaS & Scalable Infra

Xiaomi Technology

Singapore

On-site

SGD 60,000 - 90,000

Full time

14 days+
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Job summary

Xiaomi Technology in Singapore is seeking a data platform engineer to lead R&D for the data platform supporting Xiaomi internet businesses. You will help build scalable data infrastructure and the tools for data extraction, transformation, and loading from diverse sources.

You will design Data as a Service (DaaS) for analytics and data science teams, enabling them to develop intelligent agile operations. You will drive internal process improvements, automating manual tasks and redesigning

Qualifications

  • Strong CS fundamentals in algorithms and data structures.
  • Good understanding of system performance and scaling.
  • Familiar with at least one of the languages such as C++/Go/Java/Python.
  • Have good team communication and collaboration skills.

Responsibilities

  • Responsible for the research and development of data platfrom for xiaomi internet businesses.
  • Build the infrastructure and tools required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
  • Design and implement Data as a Service ( DaaS ) for analytics and data scientist team members that assist them in developing intelligent agile operation.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Skills

Algorithms & data structures
System performance
Collaboration & communication

Education

Bachelor's degree in Computer Science/Software Engineering/IT

Tools

C++
Go
Java
Python

Job description

Xiaomi Technology in Singapore is seeking a data platform engineer to lead R&D for the data platform supporting Xiaomi internet businesses. You will help build scalable data infrastructure and the tools for data extraction, transformation, and loading from diverse sources.

You will design Data as a Service (DaaS) for analytics and data science teams, enabling them to develop intelligent agile operations. You will drive internal process improvements, automating manual tasks and redesigning

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