Data Engineer（Senior Level）

XIAOMI TECHNOLOGIES SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Xiaomi Technologies Singapore PTE. LTD. is seeking a data engineering leader to design and implement scalable overseas data warehouse and platform solutions.

You will transform raw data from mobile, IoT, and app domains into actionable insights and mentor engineers across cross-functional teams. You will collaborate with product, analytics, and business teams to translate complex requirements into robust data products, including dashboards and reporting systems, while upholding governance and

Qualifications

• Bachelor's degree or above in Computer Science, Data Engineering, or a related field.
• Minimum 5 years of experience in data engineering or data platform development.
• Strong expertise in big data technologies such as SQL, Spark, Flink, and the Hadoop ecosystem.
• Proven experience in data modeling and designing large-scale data warehouses.
• Proficient in data visualization tools and building data products like dashboards and reporting systems.
• Solid understanding of processing both structured and unstructured data.
• Excellent communication and stakeholder management skills.

Responsibilities

• Lead the design, development, and continuous improvement of the overseas data warehouse and data platform across mobile, IoT, and app data domains.
• Architect and implement scalable data processing systems and analytics applications to convert raw data into actionable insights.
• Design and optimize batch and real-time data pipelines using technologies such as Spark and Flink to ensure high performance, scalability, and reliability.
• Define and implement data warehouse architecture including ODS, DWD, DWS, and ADS layers, and enforce data governance practices covering data quality, lineage, and metadata management.
• Drive the development of data products including dashboards, visualization systems, and dynamic reporting solutions to support business decision-making.
• Collaborate with business, product, and analytics teams to translate complex requirements into scalable and maintainable data solutions.
• Mentor junior engineers and promote best practices in data engineering and analytics to enhance team capabilities.

Skills

Big data technologies

Data modeling

Data visualization

Stakeholder management

Mentoring

Education

Bachelor's degree in Computer Science or Data Engineering

Tools

Spark

Flink

Hadoop

SQL

ETL

Job description

Job Summary

Lead the design and development of scalable overseas data warehouse and platform solutions, transforming raw data into actionable insights across mobile, IoT, and app domains. Collaborate with cross-functional teams and mentor engineers to drive data product innovation.

Responsibilities

• Lead the design, development, and continuous improvement of the company's overseas data warehouse and data platform across mobile device, IoT, and app data domains
• Architect and implement scalable data processing systems and analytics applications to convert raw data into actionable insights
• Design and optimize batch and real-time data pipelines using technologies such as Spark and Flink to ensure high performance, scalability, and reliability
• Define and implement data warehouse architecture including ODS, DWD, DWS, and ADS layers, and enforce data governance practices covering data quality, lineage, and metadata management
• Drive the development of data products including dashboards, visualization systems, and dynamic reporting solutions to support business decision-making
• Collaborate with business, product, and analytics teams to translate complex requirements into scalable and maintainable data solutions
• Mentor junior engineers and promote best practices in data engineering and analytics to enhance team capabilities

Required competencies and certifications

• Bachelor's degree or above in Computer Science, Data Engineering, or a related field
• Minimum 5 years of experience in data engineering or data platform development
• Strong expertise in big data technologies such as SQL, Spark, Flink, and the Hadoop ecosystem
• Proven experience in data modeling and designing large-scale data warehouses
• Proficient in data visualization tools and building data products like dashboards and reporting systems
• Solid understanding of processing both structured and unstructured data
• Excellent communication and stakeholder management skills

Preferred competencies and qualifications

• Experience working with global or overseas data environments
• Proficiency in Mandarin