Data Engineer (Senior)

XIAOMI TECHNOLOGIES SINGAPORE PTE. LTD.; Singapore; In loco; SGD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Xiaomi Technologies Singapore PTE. LTD. is seeking a senior data platform lead to research, design, and deliver scalable data systems that empower analytics and data science teams.

You will drive end-to-end data platform development for Xiaomi Internet businesses, set data governance standards, and lead cross-functional collaboration to translate business needs into robust data architectures.

Competenze

• Strong fundamentals in computer science, including algorithms and data structures.
• Proficient in at least one programming language (C++, Go, Java, Python) and Linux shell development.
• Solid understanding of system performance and scaling principles.

Mansioni

• Design and deliver large-scale data platforms for Xiaomi Internet businesses, ensuring end-to-end system functionality and scalability.
• Build infrastructure and tools to optimize data extraction, transformation, and loading from diverse sources with high throughput and fault tolerance.
• Develop and implement Data as a Service (DaaS) solutions to support analytics and data science teams in agile decision-making.
• Identify and implement process improvements by automating manual tasks and redesigning infrastructure for scalability.
• Lead the design and evolution of data warehouse layering strategies and establish modeling standards and best practices.
• Evaluate and integrate emerging big data technologies to enhance pipeline performance and reduce costs.
• Define and enforce data governance policies including data quality, lineage, access control, and metadata management.
• Collaborate with product, engineering, and BI teams to translate complex business requirements into scalable data architectures.
• Mentor junior engineers through code reviews and technical guidance.

Conoscenze

C++

Go

Java

Python

Formazione

Bachelor's in Computer Science/Software Engineering/IT

Descrizione del lavoro

Job Summary

Lead the research and development of Xiaomi’s data platform, designing and delivering scalable, high-performance data systems that empower analytics and data science teams to drive intelligent operations.

Responsibilities

• Design and deliver large-scale data platforms for Xiaomi Internet businesses, ensuring end-to-end system functionality and scalability
• Build infrastructure and tools to optimize extraction, transformation, and loading of data from diverse sources with high throughput and fault tolerance
• Develop and implement Data as a Service (DaaS) solutions to support analytics and data science teams in agile decision-making
• Identify and implement process improvements by automating manual tasks, optimizing data delivery, and redesigning infrastructure for scalability
• Lead the design and evolution of data warehouse layering strategies (ODS/DWD/DWS/ADS) and establish modeling standards and best practices
• Evaluate and integrate emerging big data technologies (e.g., Iceberg, Flink, Doris) to enhance pipeline performance, reduce costs, and improve data freshness
• Define and enforce data governance policies, including data quality standards, lineage tracking, access control, and metadata management
• Collaborate with product, engineering, and business intelligence teams to translate complex business requirements into scalable data architectures
• Mentor junior engineers through code reviews, technical guidance, and knowledge sharing to strengthen team capabilities
• Drive cross-team technical alignment on the data platform roadmap, participate in architecture reviews, and contribute to long-term infrastructure planning

Required competencies and certifications

• Strong fundamentals in computer science, including algorithms and data structures, supported by a degree in Computer Science, Software Engineering, Information Technology, or related fields
• Proficient in at least one programming language such as C++, Go, Java, or Python, with experience in Linux shell development
• Solid understanding of system performance and scaling principles
• Effective communication and collaboration skills within a team environment