Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. We are currently seeking an experienced professional to
Company Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re
Job Description: • 具备大型数据平台及云环境(如Azure、AWS、Snowflake、Databricks)架构和管理经验,具备敏捷、DevOps和DataOps实践的实际知识。 • 熟练使用容器化和云自动化工具(Docker、Kubernetes、Terraform等),并对数据生命周期管理和数据治理最佳实践有深刻理解。 • 云计算平台(如AWS、Azure、GCP) • 基础设施即代码(IaC)工具(如 Terraform、CloudFormation) • Kubernetes和容器化(例如Docker) • CI/CD工具(例如,Jenkins、GitLab CI、GitHub Actions) • 脚本和编程语言(例如 Python、Go 语言) • 系统架构与设计 • 解决问题和故障排除 • 沟通与协作 At DXC Technology, we believe strong connections and community are key
Job Description: • 具备大型数据平台及云环境(如Azure、AWS、Snowflake、Databricks)架构和管理经验,具备敏捷、DevOps和DataOps实践的实际知识。 • 熟练使用容器化和云自动化工具(Docker、Kubernetes、Terraform等),并对数据生命周期管理和数据治理最佳实践有深刻理解。 • 云计算平台(如AWS、Azure、GCP) • 基础设施即代码(IaC)工具(如 Terraform、CloudFormation) • Kubernetes和容器化(例如Docker) • CI/CD工具(例如,Jenkins、GitLab CI、GitHub Actions) • 脚本和编程语言(例如 Python、Go 语言) • 系统架构与设计 • 解决问题和故障排除 • 沟通与协作 At DXC Technology, we believe strong connections and community are key
Job Description: • 具备大型数据平台及云环境(如Azure、AWS、Snowflake、Databricks)架构和管理经验,具备敏捷、DevOps和DataOps实践的实际知识。 • 熟练使用容器化和云自动化工具(Docker、Kubernetes、Terraform等),并对数据生命周期管理和数据治理最佳实践有深刻理解。 • 云计算平台(如AWS、Azure、GCP) • 基础设施即代码(IaC)工具(如 Terraform、CloudFormation) • Kubernetes和容器化(例如Docker) • CI/CD工具(例如,Jenkins、GitLab CI、GitHub Actions) • 脚本和编程语言(例如 Python、Go 语言) • 系统架构与设计 • 解决问题和故障排除 • 沟通与协作 At DXC Technology, we believe strong connections and community are key
Role Summary Design, build, and run core services and reusable components for the open-architecture data platform, enabling scalable ingestion, metadata-driven processing, governance, and reliable multi-engine data consumption. Partner with Platform Engineering and Data Engineering teams to
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support.
Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. We are currently seeking an experienced professional to
Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. We are currently seeking an experienced professional to
Job Description: • 具备大型数据平台及云环境(如Azure、AWS、Snowflake、Databricks)架构和管理经验,具备敏捷、DevOps和DataOps实践的实际知识。 • 熟练使用容器化和云自动化工具(Docker、Kubernetes、Terraform等),并对数据生命周期管理和数据治理最佳实践有深刻理解。 • 云计算平台(如AWS、Azure、GCP) • 基础设施即代码(IaC)工具(如 Terraform、CloudFormation) • Kubernetes和容器化(例如Docker) • CI/CD工具(例如,Jenkins、GitLab CI、GitHub Actions) • 脚本和编程语言(例如 Python、Go 语言) • 系统架构与设计 • 解决问题和故障排除 • 沟通与协作 At DXC Technology, we believe strong connections and community are key
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are,
Who we are looking for We are seeking a senior application lead, Vice President to lead advanced Markets Reg Reporting solution development. This is a hands-on development role focusing on turning a business need into practical,
SUMMARY OF THE ROLE As a core member of the Advanced Analytics team, you will bridge the gap between complex data science and pharmaceutical commercial strategy. You will design and deploy advanced analytical solutions—ranging from predictive
大数据开发工程师 深圳、长沙 社招 全职 互联网 / 电子 / 网游 职位描述 1.承担数据应用的开发和治理等工作,负责数据需求整体解决方案的设计,包括数据采集、数据集成、数据建模、资产发布等;2.研究相关大数据前沿技术,结合业务需求,进行大数据平台组件的架构、优化,推动技术沉淀;负责对外技术沟通,提升数据研发能力;3.制定大数据技术规范,发布白皮书,负责建立团队内部以及团队之间的技术分享、协作和评审的流程和机制;4.负责大数据能力在业务上的落地。 职位要求 1.统招本科以上学历,3年以上大数据经验;2.熟悉大规模数据处理、分布式存储计算、数据建模,了解大数据前沿技术;具备2个以上大数据平台项目完整实践经验;深入理解常用的数据建模理论,有数据仓库模型建设经验优先;3.精通Sql、Hadoop、Hive、Spark、Flink、Kafka、Impala、Yarn、Zookeeper、OLAP技术等,熟悉Linux系统、Java或scala语言、Shell、 Python;4.有电商领域的大数据项目经验优先,有数据中台、技术中台建设等技术背景者优先,有Databricks和 aws技术栈的使用经验优先;5.有很强的学习、分析和解决问题能力、良好的团队意识和协作精神,有较强的内外沟通能力;6.喜欢和业务打交道,喜欢站在业务视角上去看技术问题,理解技术是为业务服务的;7.客户服务意识强,积极乐观坚韧,有较强的抗压能力。 投递...
大数据架构师 长沙、深圳 社招 全职 互联网 / 电子 / 网游 职位描述 1. 【架构设计】 负责面向 AI 时代的大数据架构设计与演进,大幅提升大数据开发效能和数据时效性2. 【技术选型】 主导大数据技术选型与落地,构建高效、可扩展的数据处理与存储体系,支撑海量数据的实时与离线处理3. 【数仓建设】 推动数据仓库建设与优化,基于OneData方法论进行数仓建模,根据团队实际情况改进并落地4. 【业务赋能】 深度理解业务场景,结合大数据技术解决业务痛点、发现业务机会,推动数据价值最大化5. 【AI协同】 具备DataOps + LLMOps协同思维,为AI模型训练/推理提供高质量数据支持(数据清洗、标注、质量监控等)6. 【团队影响】 提升横向大数据团队、产研团队、业务团队使用数据的能力,推动数据文化建设 职位要求 1. 【学历经验】 统招本科以上学历,8年以上相关工作经验,其中5年以上大数据架构或开发经验2. 【技术栈】 精通Spark、Flink等大数据计算引擎,熟悉Hudi/Delta Lake/Paimon等数据湖技术,熟悉StarRocks/ClickHouse等OLAP引擎3. 【数仓能力】 熟悉OneData数仓建模方法论,具备大规模数据仓库架构设计与优化经验,能根据业务场景制定合理的数据分层与建模策略4.
Design, build, and support trusted analytical data products for Core Reference Data, Security Master, IBOR Holdings & Transactions, DataHub, and Stamford Data Warehouse migrationsand may other data initiatives. Develop end-to-end batch/stream pipelines, logical and physical data
Who we are looking for We are seeking a skilled full stack Software Engineer with deep hands-on engineering expertise and proven leadership experience building production-grade systems. The ideal candidate combines strong software engineering fundamentals, and can
Key Responsibilities A data engineer who builds the pipelines and data infrastructure that feed AI/ML and agentic applications, owning ingestion through to retrieval-ready, feature-ready data. Must-have • Production data pipelines at scale. Youve built and operated
Job Summary A senior data engineer who builds the pipelines and data infrastructure that feed AI/ML and agentic applications, owning ingestion through to retrieval-ready, feature-ready data. Key Responsibilities Must-have • Production data pipelines at scale. Youve
Work ScheduleStandard (Mon-Fri) Environmental ConditionsOffice Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to