Data EngineerID:59826

3,500 MYR ~ 7,000 MYR马六甲 Malacca1日 ago

概述

  • 薪资

    3,500 MYR ~ 7,000 MYR

  • 工作行业

    Manufacturing(Electronics/Semiconductors), Manufacturing(Machinery), Manufacturing(Chemicals/Materials)

  • 工作内容

    We are looking for a Data Engineer to build the "nervous system" of our factory. You will be responsible for the massive task of connecting physical machines, sensors, and legacy databases into a clean, high-speed data stream that powers our AI models and autonomous decision-making.

    • Data Ingestion: Lead the design of pipelines that ingest data from SQL Server (e.g., FurnaceTempDB) and factory sensors into a centralized AI-ready format.
    • Data Quality & Governance: Ensure the data fed into AI models is clean, timestamped accurately, and structured correctly for tasks like "after-firing"
    dimension prediction.
    • System Reliability: Maintain 99.9% uptime for data pipelines; if the data stops, the autonomous factory stops.
    • Storage Strategy: Manage the lifecycle of manufacturing data, balancing the need for "hot" real-time data for AI and "cold" historical data for long-term trend analysis.
    • Collaboration: Work closely with AI Engineers to provide custom "feature sets" and ensure the RAG system has access to the latest internal documents.

资格

  • 任职资格

    <Requirements>
    • Bachelor’s Degree in Data Engineering, Computer Science, or Information Systems.
    • Min. 2-5+ years in data architecture. You must have experience handling high-velocity "Internet of Things" (IoT) or industrial sensor data.
    • Strong problem-solving skills and attention to detail
    • Ability to work independently and in a team environment

    <Advantageous>
    • Strong problem-solving and troubleshooting skills.
    • Strong communication and interpersonal skills, with the ability to work effectively in a team.
    • Willingness to work on the shop floor and provide hands-on support.

    <Technical knowledge>
    • Expert-level knowledge of SQL Server (SSMS) and T-SQL. Candidates should be comfortable with database optimization, indexing, and complex query
    tuning.
    • ETL/ELT Pipelines: Proven experience building automated data pipelines using Python, Airflow, or similar orchestration tools.
    • Data Modeling: Ability to design schemas that support both historical analysis and real-time AI inference.
    • Systems Integration: Experience connecting disparate data sources, from local PLC (Programmable Logic Controller) data to cloud-based enterprise systems.

  • 英文

    -

  • 其他语言

    Malay, English

附加信息

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