Data Engineer (IoT / Mobile / Data domain)

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 is an added advantage to collaborate with Mandarin speaking counterparts.