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Open nowPosted 28 days ago

Data Engineer (IoT / Mobile / Data domain)

MyCareersFuture94,028 open roles

Pay
SGD 10,000 – SGD 15,000 a Monthly
Where
Singapore
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Your applicationOpen nowData Engineer (IoT / Mobile / Data domain)MyCareersFuture · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 28 days ago

The posting

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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