职位&公司对比
职位详情
- 广州
- 10年以上
- 本科
- 要求数据开发/架构经验
- Python
- 要求有数据架构经验
- 数据平台架构经验
- 数据仓库架构经验
- Spark
- Hive
- 金融行业经验
JOB SUMMARY* The purpose of this role is to own and drive the target Functions Data and Reporting Architecture for all Group Functions domains and look at data architecture end to end within Functions, including Application centric data ETL/processing and Data Platforms/Warehouse/Marts/Lake, upstream sourcing and downstream consumption. This will then help to drive standardisation and consistency across the Functions domains, with a view of landscape simplification and cost efficiencies. Strategy* • Own and drive the overall target Functions Data and Reporting Architecture. Key areas include the technology stack to be used, data principles, best practices and standards, streamline and simplify data architecture landscape through elimination of duplicated data stores, enhance governance where applicable. • Provide architecture direction, guiding principles, guardrails and roadmaps to ensure that the target Functions Data and Reporting Architecture are aligned to the wider Group Architecture Strategy, Policy and Standards. • Drive architecture standards for Data Governance and Management (Data Quality, Lineage, Privacy, Data Sovereignty, Data Discoverability) • Collaborate with the wider architecture community across Bank, represent Functions in the wider technology organisation on data topics. • Collaborate with the technology teams from the various Global Functions domains to define the target architecture and any transition states 来自BOSS直聘if necessary. Manage and track technical debt where applicable. • Work with Domain and Solution Architects, to review and ensure solutions/projects are aligned to the target Functions Data and Reporting Architecture. Promote streamlined approaches across the different Functions domains, where applicable. • Collaborate with Domain and Solution Architects to identify and recommend data patterns and best practi直聘ces, product evaluations and/or Proof of Concepts for new technologies where applicable. • Optimize business alignment and maximize value on investments by aligning technology decisions with business imperatives leading to cost optimisation (cost avoidance & cost reduction), as well as ensuring fit for purpose platforms. • Identify opportunities to establish common patterns across Group Functions to drive down the cost of change for our Businesses. This includes designing for change and prioritising Agility and Adaptability. • Contribute to BCBS by driving data architecture in alignment with regulatory and strategic priorities. Business* • Collaborate with CDO and Business domain data architects to drive data model convergence, data management governance and to drive towards modern data architecture standards, e.g. data mesh • Improve cost efficiency – drive efficiency by identifying opportunities to rationalise to a fewer best of breed platforms which provides strategic business capability and aggressively decommission redundant applications. • Contribute to investment planning/prioritisation with the businesses and T&I. • Driving and enable cloud adoption and modernisation of technology landscape across Group Functions whilst balancing regulatory requirements like data sovereignty and cloud approvals and data security. Qualifications • This role requires 15-20 years of relevant experience, covering the design and governance of architectBOSS直聘ure, with at least 10-15 years in a hands-on role for data and/or analytics/big data domains in the Finance sector. Experience in large, complex organisations, ability to handle cultural diversity and managing senior stakeholders is essentia来自BOSS直聘l to this role. • Significant experience to BigData technologies like Cloudera/Hadoop suites, Spark, Talend etc and internal build at major banks or FS institutions is essential.
职位详情
- 广州
- 5-10年
- 硕士
- 要求数据开发/架构经验
- 要求有数据架构经验
- 要求有数据开发经验
- 数据平台开发经验
- 大数据引擎开发经验
- 数据平台架构经验
- 数据仓库架构经验
- 大数据引擎架构经验
- 其他数据架构经验
- 10年以上
- MapReduce
- C/C++
- Java
- 其他
- 计算机相关专业
- 数学/统计相关专业
岗位要求: 1、熟悉分布式推理框架/调度pipeline,熟悉大模型分布式推理,了解流水线/tensor数据并行等各种技术,了解重计算的技术原理; 2、熟悉常用深度学习推理优化技术和算法,如压缩、剪枝、知识蒸馏等; 3、了解和熟悉模型各种并行策略,有大模型实际部署和优化的经验优先; 4、精通Python、C++,JAVA,具备较强代码及工程实现能力,有基于Tensorflow,Pytorch等深度学习平台的算法开发经验; 5、熟悉DeepSpeed,Megatron等大模型框架,并了解各个功能模块底层实现原理优先; 6、模型训练能直聘力扎实,精通模型结构CNN、Transformmer以及原理; 7、掌握rm、p来自BOSS直聘po等模型的实现细节,熟悉强化学习最新agent技术落地方案;
技能解析
暂无识别出相关技能要求
技能解析
- JAVA
- 算法开发经验
- 技术原理
- 优化技术
- 深度学习
- 开发经验
- 模型训练
- 熟悉分布式
- 算法开发
数据来自CSL职业科学研究室
公司福利
- 五险一金
- 补充医疗保险
- 定期体检
- 加班补助
- 年终奖
- 带薪年假
- 免费班车
- 免费午餐
备注
职位发布者未明确表明公司信息,具体可咨询职位发布人进行确认。
备注
职位发布者未明确表明公司信息,具体可咨询职位发布人进行确认。