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    Data Engineer - Kuala Lumpur, Malaysia - Two95 International Inc.

    Two95 International Inc.
    Two95 International Inc. Kuala Lumpur, Malaysia

    Found in: Talent MY C2 - 3 days ago

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    Contract
    Description

    Hiring Local Malaysians only - CONTRACT JOB - 12 MONTHS (EXTENDABLE)

    DATA ENGINEER - IT with Extensive experience in "Healthcare ".

    With Minimum Experience - 3 years & Maximun Experience - 15 years

    Core responsibilities include:

    • Work within a highly specialized and growing team to enable delivery of data and advanced analytics system capability.
    • Develop and implement a reusable architecture of data pipelines to make data available for various purposes including Machine Learning (ML), Analytics and Reporting
    • Work collaboratively as part of team engaging with system architects, data scientists and business in a healthcare context
    • Define hardware, tools and software to enable the reusable framework for data sharing and ML model productionization
    • Work comfortably with structured and unstructured data in a variety of different programming languages such as SQL, R, python, Java etc
    • Understanding of distributing programming and advising data scientists on how to optimally structure program code for maximum efficiency
    • Build data solutions that leverage controls to ensure privacy, security, compliance, and data quality
    • Understand meta-data management systems and orchestration architecture in the designing of ML/AI pipelines
    • Deep understanding of cutting-edge cloud technology and frameworks to enable Data Science
    • System integration skills between Business Intelligence and source transactional
    • Define strategies with Data Scientists to monitor models post production
    • Write unit tests and participate in code reviews

    Improving overall production landscape as required

    Requirements

    • Honours or Master's degree in BSc Computer Science or Engineering or Software Engineering with solid experience in data mining and machine learning
    • 5 to 15 years of work experience
    • Expert in programming languages such as R, Python, Scala and Java
    • Expert database knowledge in SQL and experience with MS Azure tools such as Data Factory, Synapse Analytics, Data Lake, Databricks, Azure stream analytics and PowerBI
    • Modern Azure datawarehouse skills
    • Expert Unix/Linux admin experience including shell script development
    • Exposure to AI or model development
    • Experience working on large and complex datasets
    • Understanding and application of Big Data and distributed computing principles (Hadoop and MapReduce)
    • ML model optimization skills in a production environment
    • Production environment machine learning and AI
    • DevOps/DataOps and CI/CD experience
    • AWS experience
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