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Data Engineer(Senior Level)(A197277A)

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Onsite

Data Engineer(Senior Level)(A197277A)

Xiaomi Technology

Data Engineer(Senior Level)(A197277A)

Skills

Big DataData EngineeringData MiningPythonData VisualizationJavaData AnalysisMachine LearningScalaNLP / Natural Language ProcessingHadoop

2 months ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

25 August 2026

What they need


职位描述:

Job description:

  • Lead the design, development, and evolution 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 transform raw data into actionable insights

  • Apply advanced data mining, data modeling, natural language processing (NLP), and machine learning techniques to extract value from large-scale structured and unstructured datasets

  • Design and optimize batch and real-time data pipelines (e.g., Spark, Flink), ensuring high performance, scalability, and reliability

  • Define and implement data warehouse architecture (ODS, DWD, DWS, ADS layers) and data governance practices (data quality, lineage, metadata)

  • Drive the development of data products, including dashboards, visualization systems, and dynamic reporting solutions

  • Partner with business, product, and analytics teams to translate complex requirements into scalable data solutions

  • Mentor junior engineers and promote best practices in data engineering and analytics

职位要求:

Requirement:

  • Bachelor’s degree or above in Computer Science, Data Engineering, or a related field

  • 5+ years of experience in data engineering or data platform development

  • Strong expertise in big data technologies (e.g., Spark, Flink, Hadoop ecosystem)

  • Solid experience in data modeling and large-scale data warehouse design

  • Proficiency in programming languages such as Python, Java, or Scala

  • Hands-on experience with machine learning, NLP, or advanced analytics workflows is highly preferred

  • Experience with data visualization tools and building data products (e.g., dashboards, reporting systems)

  • Strong understanding of both structured and unstructured data processing

  • Proven ability to optimize large-scale data systems and pipelines

  • Excellent communication and stakeholder management skills

  • Experience with global or overseas data environments is a plus. Ability to communicate in Mandarin and English, in order to support coordination and collaboration with Mandarin-speaking stakeholders, teams, and business partners across regional markets.

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