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    ETL Engineer - Hong Kong, 香港 - Morgan McKinley

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    全职
    描述
    A renowned insurance firm is looking for a junior data/ ETL engineer with insurance industry background to work on regional projects

    Responsibilities:
    • Peform the Extract, Transform, and Load (ETL) process for data pipelines
    • Construct ETL job pipelines using ETL tools
    • Manage ETL job scheduling and optimize data load
    • Identify gaps in the ETL pipeline and execute data normalization to enhance data processing
    • Gain extensive exposure to various database technologies and automation
    • Design, create, document, and implement comprehensive data pipelines and integration processes, encompassing both batch and real-time data processing
    • Perform data analysis, profiling, cleansing, lineage, mapping, and transformation
    • Develop ETL/ELT jobs, workflows, and deploy data solutions
    • Monitor and suggest improvements for data quality, reliability, efficiency, and cleanliness
    • Optimize and fine-tune ETL/ELT processes
    • Recommend and implement best practices in data management and data lifecycle processes
    • Prepare test data and support the creation and execution of test plans.
    • Collaborate with Data Architect, Data Modeler, IT team members, SMEs, vendors, and business stakeholders to comprehend data requirements and implement data solutions
    • Provide ongoing support for data issues and change requests, documenting all investigations, findings, recommendations, and resolutions
    Requirements:
    • Over 2 years of work experience in the insurance or finance industry
    • Knowledge of IBM DataStage or equivalent ETL software
    • Strong communication skills to effectively communicate and present technical information in a clear and unambiguous manner
    • Familiarity with ETL/ELT frameworks, data warehousing concepts, data management frameworks, and data lifecycle processes
    • Experienced in handling and processing diverse data types (structured, semi-structured, and unstructured)
    • Thorough understanding of various database technologies (RDBMS, NoSQL, and columnar)
    • Profound comprehension of programming languages such as Python
    • Strong ability to work independently and collaborate with diverse teams in a multi-stakeholder environment

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