- Clementi West Region (Singapore) Singapore
XIAOMI TECHNOLOGIES SINGAPORE PTE. LTD. Hiring! Full Time Data Engineer(Senior Level) in West Region (Singapore), Earn up to SGD 13,000 - Ricebowl
Data Engineer(Senior Level)
XIAOMI TECHNOLOGIES SINGAPORE PTE. LTD.
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Job Description
Responsibilities
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
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
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