Data Engineer (IoT / Mobile / Data domain)

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Description

Data Engineer Central, Singapore (Onsite) Permanent Position Job Responsibilities · Lead, design, enhance, and maintain overseas data warehouse and data platform solutions across mobile device, IoT,application, and business data domains. · Develop scalable batch and real-time datapipelines using SQL, Spark, Flink, Hadoop ecosystem tools, and related big data technologies. · Build reliable data models and ware houselayers, including ODS, DWD, DWS, and ADS, to support analytics, reporting, and business decision-making. · Optimize distributed data processing workflows to improve performance, stability, scalability, and efficiency. · Establish data governance practices covering data quality, lineage, metadata, standards, and consistency across integrated data sources. · Create dashboards, visualization tools, reports, and data products that convert complex data into clear business insights. · Collaborate with business, product, analytics and engineering teams to translate requirements into practical and maintainable data solutions. Required Skills and Qualifications · Bachelor’s degree or above in Computer Science, Data Engineering, Information Systems, or a related field. · At least 5 years of experience in data engineering, data platform development, or large-scale data warehouse implementation. · Strong hands-on experience with SQL, Spark, Flink, Hadoop, data modeling, and structured or unstructured data processing. · Proven ability to design high-volume data warehouses and optimize data pipelines for performance, reliability, and usability. · Experience building dashboards, reporting platforms, visualization solutions, and business-facing data applications. · Good communication skills with the ability to work effectively with technical and non-technical stakeholders. Other Skills · Experience supporting overseas or global data environments is preferred. · Mandarin proficiency preferred as this role involves working with Mandarin-speaking stakeholders

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