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    HR Data Engineer

    Full-Time
    , Thailand
    Posted: January 1, 2025
    Position Details

    Key Responsibilities:


    Data Infrastructure Development:

    • Design, implement, and maintain robust data pipelines to integrate and process data from various HR systems (e.g., ATS, HRIS, payroll, and performance management tools).
    • Build scalable and secure data architecture to support HR analytics and reporting needs.


    Data Management and Integration:

    • Ensure seamless data integration across multiple platforms, ensuring data accuracy and consistency.
    • Collaborate with IT and vendors to manage APIs and other integration tools.


    Data Quality and Governance:

    • Develop and enforce data quality standards, ensuring HR data integrity and security.
    • Monitor, troubleshoot, and resolve data-related issues in a timely manner.


    Analytics and Reporting Support:

    • Partner with HR Analytics and Business Intelligence teams to create and optimize dashboards, visualizations, and reports.
    • Enable predictive analytics by preparing and organizing data for machine learning and statistical models.


    Collaboration and Stakeholder Engagement:

    • Work closely with HR and business leaders to understand data requirements and translate them into technical solutions.
    • Train and support HR teams in accessing and interpreting data insights.


    Qualifications:


    • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
    • 3–5 years of experience in data engineering, preferably with exposure to HR data systems.
    • Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or similar).
    • Experience with ETL tools (e.g., Apache Airflow, Talend, Informatica).
    • Familiarity with HR software and platforms (e.g., SAP SuccessFactors, Workday, Oracle HCM).
    • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data tools (e.g., Hadoop, Spark).
    • Strong understanding of data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R).



    Skills
    Computer Science
    Data Engineering
    SQL
    Database Management

    Functions
    Engineering

    Job Overview

    Job Type:

    Full-Time


    Company

    CPF Group logo

    CPF Group

    53 active jobs

    Industry:

    Agriculture, Farming & Aquaculture

    Ready to Apply?

    Submit your application now and take the next step in your career journey.

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