Ai

Description -

我们正在寻找一名积极主动经验丰富的高级数据工程师 - AI与分析加入工厂数字化转型与人工智能团队该岗位将重点建设并扩展企业级数据平台分析解决方案及AI就绪的数据基础为制造运营质量提升供应链可视化和下一代AI应用提供支撑

理想候选人应具备扎实的数据工程大规模分析平台和现代数据架构经验并有意愿将人工智能与生成式AI技术应用于真实业务场景

• 设计构建并维护可扩展的企业级数据平台为制造分析和AI工作负载提供支持
• 开发并优化来自多类数据源的批处理与流处理数据管道
• 建设面向大规模分析环境的数据采集处理转换和服务层
• 构建可复用易维护可用于生产环境的数据工程框架

• 使用现代数据工程技术设计并实施可靠的ETL/ELT数据管道
• 开发支持报表自助分析语义模型和AI应用的稳健数据模型
• 优化数据处理的性能可靠性可扩展性和成本
• 推动平台的数据质量数据治理血缘追踪和可观测性建设

• 构建AI就绪的数据集和企业知识库
• 开发支持检索增强生成RAG和企业AI应用的数据管道
• 将大语言模型服务和语义搜索能力集成到业务工作流
• 与AI工程师和数据科学家合作推动AI解决方案和智能Agent的工程化落地

• 与工厂运营工程和业务团队合作解决以数据驱动的业务问题
• 建设良率分析工厂KPI平台制造智能测试数据分析质量分析及供应链分析方案
• 将业务需求转化为安全可扩展可维护的技术解决方案

• 评估大数据云平台分析及AI领域的新兴技术
• 提出架构改进建议并参与技术路线图规划
• 推动软件工程数据工程和平台开发的最佳实践

• 计算机科学数据工程信息系统软件工程或相关技术专业本科及以上学历

• 5年以上数据工程大数据平台开发或分析工程相关经验
• 具备企业级数据平台及生产数据管道的设计和建设经验
• 具备大规模结构化与非结构化数据处理经验
• 具备支持生产关键业务应用的经验

• 熟练掌握以下多项技术Apache SparkApache FlinkHiveKafkaAirflowTrino/PrestoApache Iceberg或湖仓一体架构
• 具备扎实的Python和SQL编程能力包括SQL开发与性能优化
• 熟悉关系型数据库NoSQL及数据湖技术例如SQL ServerPostgreSQLMySQLMongoDB或同类平台
• 具备至少一种云平台经验Microsoft AzureAWS或Google Cloud Platform
• 具备GitCI/CDDocker和Kubernetes使用经验者优先

• 具备RAG大语言模型应用Agent框架语义搜索或向量数据库经验
• 熟悉LangChainAzure AI服务Azure AI Search或同类技术

• 具备制造系统工厂分析MES产品质量分析测试工程数据平台或工业物联网解决方案经验
• 理解制造数据运营KPI及跨职能工厂业务流程

• 具备较强的问题分析与解决能力
• 具备清晰的沟通表达和利益相关者管理能力
• 能够在全球化跨职能团队中有效协作
• 自我驱动具有主人翁意识执行力和责任感
• 持续学习并对新兴技术保持好奇心

• 企业级AI平台与工厂AI助手
• 制造知识系统与基于RAG的搜索平台
• 工厂数据湖仓分析与报表解决方案
• AI就绪的数据产品与语义模型
• 智能自动化工作流与数字化转型能力

We are seeking a highly motivated and experienced Senior Data Engineer - AI & Analytics to join our Factory Digital Transformation and AI team. This role focuses on building and scaling enterprise data platforms analytics solutions and AI-ready data foundations that support manufacturing operations quality improvement supply chain visibility and next-generation AI initiatives.

The ideal candidate has strong expertise in data engineering large-scale analytics platforms and modern data architectures together with a passion for applying AI and Generative AI technologies to real-world business challenges.

• Design build and maintain scalable enterprise data platforms supporting manufacturing analytics and AI workloads.
• Develop and optimize batch and streaming data pipelines across multiple data sources.
• Implement data ingestion processing transformation and serving layers for large-scale analytics environments.
• Build reusable maintainable and production-ready data engineering frameworks.

• Design and implement reliable ETL/ELT pipelines using modern data engineering technologies.
• Develop robust data models for reporting self-service analytics semantic models and AI applications.
• Optimize data processing performance reliability scalability and cost.
• Promote data quality governance lineage and observability across the platform.

• Build AI-ready datasets and enterprise knowledge repositories.
• Develop data pipelines supporting Retrieval-Augmented Generation (RAG) and enterprise AI applications.
• Integrate LLM services and semantic search capabilities into business workflows.
• Collaborate with AI engineers and data scientists to operationalize AI solutions and intelligent agents.

• Partner with factory operations engineering and business teams to solve data-driven challenges.
• Build solutions for yield analytics factory KPI platforms manufacturing intelligence test data analytics quality analytics and supply chain analytics.
• Translate business needs into secure scalable and maintainable technical solutions.

• Evaluate emerging technologies in big data cloud platforms analytics and AI.
• Recommend architectural improvements and contribute to technology roadmaps.
• Drive engineering best practices across software data and platform development.

• Bachelors or Masters degree in Computer Science Data Engineering Information Systems Software Engineering or a related technical field.

• 5 years of experience in data engineering big data platform development or analytics engineering.
• Proven experience building enterprise-scale data platforms and production data pipelines.
• Experience working with structured and unstructured data at scale.
• Experience supporting production-critical business applications.

• Strong expertise in several of the following: Apache Spark Apache Flink Hive Kafka Airflow Trino/Presto Apache Iceberg or lakehouse architecture.
• Strong programming skills in Python and SQL including SQL development and performance optimization.
• Experience with relational NoSQL and data lake technologies such as SQL Server PostgreSQL MySQL MongoDB or equivalent platforms.
• Experience with at least one cloud platform: Microsoft Azure AWS or Google Cloud Platform.
• Working knowledge of Git CI/CD Docker and Kubernetes is preferred.

• Experience with RAG LLM applications agent frameworks semantic search or vector databases.
• Familiarity with LangChain Azure AI services Azure AI Search or comparable technologies.

• Experience supporting manufacturing systems factory analytics MES product quality analytics test engineering data platforms or Industrial IoT solutions.
• Understanding of manufacturing data operational KPIs and cross-functional factory workflows.

• Strong problem-solving and analytical thinking.
• Clear communication and effective stakeholder management.
• Ability to work in global cross-functional teams.
• Self-driven execution ownership and accountability.
• Continuous learning and curiosity about emerging technologies.

• Enterprise AI platforms and factory AI assistants
• Manufacturing knowledge systems and RAG-based search platforms
• Factory data lakehouse analytics and reporting solutions
• AI-ready data products and semantic models
• Intelligent automation workflows and digital transformation capabilities

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Equal Opportunity Employer (EEO) -

HP Inc. provides equal employment opportunity to all employees and prospective employees without regard to race color religion sex national origin ancestry citizenship sexual orientation age disability or status as a protected veteran marital status familial status physical or mental disability medical condition pregnancy genetic predisposition or carrier status uniformed service status political affiliation or any other characteristic protected by applicable national federal state and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information review HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal