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
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
【集团】-大数据开源组件研发工程师 上海 全职 职位描述 负责公司大数据基础架构核心组件的研发、优化和稳定性建设，重点参与流计算平台、海外云大数据平台以及开源大数据底座能力的持续演进。1. 参与 Hadoop、Spark、Flink、StarRocks 等开源组件的源码分析、问题定位、二次开发和版本升级；2. 重点负责 Flink / Spark Streaming 等流计算相关组件的性能优化、稳定性治理、任务调度优化和故障排查；3. 参与海外云环境下大数据平台的架构设计、成本优化、资源治理和稳定性建设，包括 Azure、Google Cloud、AWS 等云平台；4. 根据业务场景对实时计算、离线计算、存储、Shuffle、调度、查询等核心能力进行定制化改造；5. 参与流批一体、湖仓一体、存算分离、对象存储适配等方向的技术预研、方案设计和落地实施；6. 跟踪开源社区及海外云厂商大数据产品的发展，沉淀技术文档、最佳实践和平台化能力，提升团队整体研发效率。 职位要求 1. 计算机相关专业，本科及以上学历；2. 熟悉 Java / Scala / C++ / Go 中至少一种编程语言，具备良好的编码能力和工程实践能力；3. 熟悉 Hadoop、Spark、Flink、StarRocks 中至少一项，有源码阅读、问题排查或二次开发经验优先；4. 具备流计算相关经验，熟悉
SummaryWe are hiring a Site Reliability Engineer to Build, support and improve Keystone, an ETL application/platform operating in the China region. Keystone supports data ingestion, transformation, and loading workflows across Kubernetes-based environments, including Airflow-based loader jobs
SummaryWe are hiring an SRE to own reliability, performance, data freshness, and operational readiness for our production ETL platform. The platform supports data ingestion, transformation, and loading workflows across Kubernetes-based environments — including Airflow-based loader jobs
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