SAPSAP China iXp Intern - Data Management Intern for GTLC Team - Shanghai
任职要求
We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.About the SAP Internship Experience Program: The SAP Internship Experience Program is SAP’s global, paid internship program that provides university students with the opportunities to find purpose in their careers. Three reasons to intern at SAP Culture of collaboration: meet with mentors, make new friends across the globe and create a thriving personal network. Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables. Gain visibility: with SAP Internship Experience Program in your title, you’ll have a global network of SAP leaders, entrepreneurs, and career development opportunities at your fingertips. We are currently seeking a motivated and detail-oriented intern to join our team. This is an excellent opportunity for students majoring in computer-related fields to gain practical work experience in IP compliance and enhance their technical skills. Job Responsibilities: Assist in scanning and reviewing the compliance status of commercial third-party software used in the company’s products, ensuring adherence to relevant regul…
工作职责
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Ant International serves customers around the world, and we are dedicated to providing safe and reliable risk control capabilities behind payments. The core technologies include rule engines, model engines, intelligent algorithm models, etc., involving very high concurrent real-time risk calculations and massive big data analysis and processing. It adopts a multi-center deployment architecture around the world. You are welcome to build it together. Here you may have the opportunity to learn more about and participate in the design and development of the following aspects: 1. Ultimate computing optimization at the millisecond level. 2. Behavior analysis and risk mining under massive data. 3. Global multi-center system architecture planning and high-availability solution design. You will also have the opportunity to explore the architectural design and implementation of cutting-edge technologies such as privacy computing and large models in AML systems. Welcome you to meet the challenge. Responsibilities 1. Build data pipelines that clean, transform, and aggregate data from disparate sources 2. Work closely with our business analysis team to provide unique insights into our data 3. Build robust systems for data quality assurance and validation at scale 4. Partner with data analysts on refining the data model used for reporting and analytical purposes
Operations monitoring & support Assist in schedule adjustments and staffing reallocations based on live demand and operational needs. Track adherence to schedules and promptly communicate deviations to supervisors for corrective action. Performance reporting & data analysis Log daily occurrences and prepare basic performance reports(SLA, AHT, occupancy). Support the creation of dashboards and visualizations using sheets to highlight key operational trends. Assist in the analysis of budget vs. actual spend, helping identify variances and efficiency opportunities. Cross‑functional communication & alignment Interact with operational teams and leaders to ensure alignment on service indicators and resource plans. Communicate in portuguese and english to support local and international stakeholders. Participate in WFM and budget review meetings, documenting action items and follow ups.
1. 负责国际业务数据产品的数据开发与架构设计，依据业务发展需求，构建高效、可靠的数据处理流程与数据模型，支撑业务分析与决策； 2. 参与数据平台核心模块的开发与优化，确保数据管道的稳定性、可扩展性与性能，通过技术手段解决大规模数据处理中的业务痛点； 3. 跟踪数据技术领域的前沿进展，负责将先进的数据处理技术与架构理念应用于实际项目，推动数据产品与业务流程的持续优化与创新； 4. 与跨部门团队紧密协作，深入理解业务需求，确保数据产品研发项目顺利推进，达成业务目标； 5. 负责数据开发相关技术规范的制定与流程的完善，提升团队技术输出的规范性与质量； 6. 参与数据产品研发团队的技术分享与知识沉淀，助力团队整体专业能力的提升; 7. 日常在英国伦敦办公室工作。
1. 支持阿里云自研云原生数据库PolarDB PolarFS2.0开发，支持百PB级存储规模横向扩展，构建多点读写挂载能力，基于OSS通用存储池打造多存储介质的cloud-tier分层存储和自动冷热分层； 2. 对接PolarDB PG多模态、PolarDB IMCI、PolarSearch、Polar4AI的I/O需求和性能优化； 3. 基于CXL内存池，参与和PolarDB数据库内核团队深度配合的全链路协同研发&优化； 4. 制定稳定性策略，寻找并解决产品系统中的潜在风险和瓶颈，覆盖线上疑难杂症问题，确保系统的安全可靠； 5. 理解业务战略及重点，基于业务需求作出高可用、高可靠、高拓展性的技术架构规划和落地。