XIAOMI TECHNOLOGIES SINGAPORE PTE. LTD.
Data Engineer (Senior)
The Senior Data Engineer will lead the development of Xiaomi's data platform, designing scalable infrastructure and DaaS solutions to support analytics and data science teams. The role involves optimizing data pipelines, implementing data governance, and mentoring junior engineers using technologies like Flink, Iceberg, and Doris.
- Compensation
- SGD 8K–SGD 15K / mo
- Location
- Singapore
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Degree in Computer Science, Software Engineering, Information Technology, or related fields
- Strong fundamentals in computer science, including algorithms and data structures
- Proficiency in at least one programming language such as C++, Go, Java, or Python
- Experience in Linux shell development
- Solid understanding of system performance and scaling principles
- Effective communication and collaboration skills
Full description
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