{
    "schema_version": "via_ai_product_manager_jobs_v1",
    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "Senior Big Data Engineer",
        "job_level": "高级",AI生成
        "work_category": "全职",AI生成
        "department": "未披露",
        "location": "新加坡",
        "work_mode": "未披露",AI生成
        "job_category": "数据研发"AI生成
    },
    "company": {
        "company_name": "小米集团",
        "company_industry": "消费电子 / 智能制造 / 物联网",
        "company_size": "10000人以上",
        "company_website": "xiaomi.com",
        "company_description": "小米是一家消费电子和智能制造企业，以智能手机、智能硬件和物联网平台为核心。"
    },
    "compensation": {
        "salary_range": {
            "min": "",
            "max": "",
            "currency": "未披露",
            "cycle": "未披露"
        },
        "benefits": "未披露"
    },
    "requirements": {
        "working_years": "",
        "degree": "未披露",
        "language": "未披露",AI生成
        "visa_support": "未披露",
        "responsibilities": "1. Responsible for the research and development of data platform for xiaomi internet businesses. \n2. Build the infrastructure and tools required for optimal extraction, transformation, and loading of data from a wide variety of data sources.\n3. Design and implement Data as a Service ( DaaS ) for analytics and data scientist team members that assist them in developing intelligent agile operation.\n4. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.",
        "requirements_text": "1. A degree in Computer Science, Software Engineering, Information Technology or related fields. \n 2. Strong Computer Science fundamentals in algorithms and data structures.\n 3. Good understanding of system performance and scaling.\n 4. Familiar with at least one of the languages, such as C++/GO/JAVA/Python, and have some experience in Linux shell development. \n 5. Have good team communication and collaboration skills.",
        "skills": [AI生成
            "Python",
            "Java",
            "C++",
            "Linux",
            "团队协作",
            "Go"
        ],
        "preferred_qualifications": "未披露",
        "job_highlights": "未披露"
    },
    "contact": {
        "recruiter_name": "未披露",
        "contact_methods": [
            {
                "type": "apply_link",
                "value": "https://xiaomi.jobs.f.mioffice.cn/index/m/position/7545677056664879212/detail"
            }
        ]
    },
    "posting": {
        "posting_id": "7545677056664879212",
        "post_date": "2025-09-03",
        "hire_time": "未披露",
        "update_date": "20260917",
        "job_url": "https://xiaomi.jobs.f.mioffice.cn/index/m/position/7545677056664879212/detail"
    },
    "fulltext": "Senior Big Data Engineer\n职位描述\n1. Responsible for the research and development of data platform for xiaomi internet businesses. \n2. Build the infrastructure and tools required for optimal extraction, transformation, and loading of data from a wide variety of data sources.\n3. Design and implement Data as a Service ( DaaS ) for analytics and data scientist team members that assist them in developing intelligent agile operation.\n4. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.\n\n职位要求\n1. A degree in Computer Science, Software Engineering, Information Technology or related fields. \n 2. Strong Computer Science fundamentals in algorithms and data structures.\n 3. Good understanding of system performance and scaling.\n 4. Familiar with at least one of the languages, such as C++/GO/JAVA/Python, and have some experience in Linux shell development. \n 5. Have good team communication and collaboration skills.\n1. Responsible for the research and development of data platform for xiaomi internet businesses. \n2. Build the infrastructure and tools required for optimal extraction, transformation, and loading of data from a wide variety of data sources.\n3. Design and implement Data as a Service ( DaaS ) for analytics and data scientist team members that assist them in developing intelligent agile operation.\n4. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.\n1. A degree in Computer Science, Software Engineering, Information Technology or related fields. \n 2. Strong Computer Science fundamentals in algorithms and data structures.\n 3. Good understanding of system performance and scaling.\n 4. Familiar with at least one of the languages, such as C++/GO/JAVA/Python, and have some experience in Linux shell development. \n 5. Have good team communication and collaboration skills.",
    "standard_classification": {
        "std_category_code": "T016",
        "std_aux_codes": [],
        "std_category_status": null,
        "std_taxonomy_version": "20261104"
    }
}