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    Data Engineer - Malaysia, Kuala Lumpur - Jobs via eFinancialCareers

    Jobs via eFinancialCareers
    Jobs via eFinancialCareers Malaysia, Kuala Lumpur

    3 days ago

    Default job background
    Full time
    Description
    Company Description

    Beyondsoft (listed by the Shenzhen Stock Exchange, stock code is a global provider of IT consulting, product and solution services. Relying on strong R&D and innovation capabilities, the company widely adopts emerging technologies based on big data and mobile internet, including big data management platform, enterprise risk warning and public opinion monitoring system, AI-based intelligent operation and maintenance service, and intelligent automated test products. And a wide range of products and solutions, including internationally authoritative software testing qualification training, for a wide range of services in the fields of high technology, internet, finance, retail, logistics, energy, manufacturing, and medical.

    For more information, please visit

    Responsibilities

    • Design, build, and maintain scalable data pipelines and ETL processes.
    • Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
    • Optimize and tune data processing systems for performance and efficiency.
    • Implement and manage data storage solutions, ensuring data integrity and security.
    • Develop and maintain documentation for data engineering processes and systems.
    • Stay updated with emerging technologies and industry trends to continuously improve data engineering practices.

    QUALIFICATIONS

    • Bachelor's Degree in Computer Science or related field.
    • Minimum 2 years of experience in data engineering.
    • Strong proficiency in programming languages such as Python, Java, or Scala.
    • Hands-on experience with Data Warehousing solutions.
    • Extensive knowledge of databases and Big Data platforms, including but not limited to SQL, NoSQL, Hadoop, and Spark.
    • Solid understanding of analytics software and tools.
    • Basic understanding of machine learning concepts.
    • Experience with Azure Technologies, including Azure Data Bricks, Azure Data Factory, Azure Data Lake, Azure SQL, and Power BI.
    • Familiarity with Azure Logic Apps, Azure Functions, and Azure Log Analytics is a plus.

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