Payment Data Developer
开发工程限定地区(需当地身份)
公司Boardroom Appointments
薪资未公开
工作地点South Africa
地域资格限定地区(需当地身份)
时区要求日间重叠约 3 小时,需偶尔早起或晚睡
用工类型Full Time
发布时间今天
数据来源Himalayas
注意地域限制:该职位明确限定在 South Africa 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。
最低要求:责任:· 负责制造一个一致,容易访问的数据层,以揭示业务规则的准确表示。· 责任包括 - ETL 开发 - 存储管理 - 数据提供数据库开发和维护 · 在测试驱动和域驱动 /跨域环境中制定高质量的数据检索,存储 & 分销设计和架构 · 与其他业务部门合作设计和部署解决方案来提高交付效率和一致性。· 引导流程保持反思和预防空间,强烈关注客户。· 创建和维护复杂的 CI/CD 管道 (在詹金斯或类似工具中编写并支持 IC/CD 管线,并在多个网站环境中部署,支持和管理你的应用程序到生产)· 对深入了解与相关或依赖于所支持业务领域的技术景观和银行架构负责以有效设计和提供数据解决方案 (架构,管道等). ·利用最新的关系性和 No-SQL 数据库以及集成和流媒体平台提供可持续的商业特定数据解决方案。·战略性和运营的监测数据产品和服务业绩,确保我们企业持续优化和成本值 (想银行范围内的)·通过适当工具和脚本技术自动化任务,例如 AWS 工具,SQL 工具 ·调整现有的源代码和抛光功能集。· 汇编满足业务需求并管理数据管道的大型复杂数据集 ·构建基础设施来自动化极高量的数据交付,创造力地解决数据量和扩展挑战 ·确保设计和解决方案支持自主服务,可重复性,可测试性,可扩展性和弹性的技术组织原则 · 应用一般的设计模式和范式,以提供技术解决方案 · 信息并支持对从各种数据来源中获取,转换和加载数据所需的基础设施构建。·负责数据摄入和供应的顺利运行,与道管理人员合作确保流动的数据;· 这包括开发短期解决方案以及随后迁移到永久性机器人。
查看英文原文
Minimum requirements:
Responsibilities:
- Accountable for producing a consistent and easily accessible data layer that exposes accurate representations of business rules.
- Responsibilities will include - ETL development - Storage management - Data Provisioning Database development and maintenance
- Develop high quality data retrieval, storage & distribution design and architecture in a test driven & domain driven / cross domain environment
- Design and deploy solutions in conjunction with other business units to improve efficiency and consistency of delivery.
- Guide the process to maintain a reflexive and pre-emptive space with strong customer focus
- Create & Maintain Sophisticated CI / CD Pipelines (authoring & supporting CI/CD pipelines in Jenkins or similar tools and deploy to multi-site environments supporting and managing your applications all the way to production)
- Take accountability for deeply understanding the technical landscape and bank wide architecture that is connected to or dependent on the business area supported in order to effectively design & deliver data solutions (architecture, pipeline etc.)
- Leverage state of the art relational and No-SQL databases as well integration and streaming platforms do deliver sustainable business specific data solutions.
- Strategically & operationally monitor the performance of data products and services ensuring ongoing optimization & cost to value for our businesses (think bank wide)
- Automate tasks through appropriate tools and scripting technologies e.g. AWS tools, SQL tools
- Debug existing source code and polish feature sets.
- Assemble large, complex data sets that meet business requirements & manage the data pipeline
- Build infrastructure to automate extremely high volumes of data delivery and Creatively solve data volume and scaling challenges
- Ensure designs & solutions support the technical organisation principles of self-service, repeatability, testability, scalability & resilience
- Apply general design patterns and paradigms to deliver technical solutions
- Inform & support the infrastructure build required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
- Responsible for the smooth running of data ingestion and provisioning thereof, working on conjunction with channel managers to ensure smooth flows of data.
- This will include the development of short term solutions and the subsequent migration onto permanent mass storage across multiple technologies.
- Continuously optimise, improve & automate data retrieval, storage & distribution processes
- Work across the value chain and in particular with QA & CSO to define and implement quality assurance routines & processes
- Collaborate with data science teams & broader business & technical stakeholders to analyse customer data requirements & leverage analysis to identify & accurately spec / frame & set the appropriate data architecture for the business area
- Leverage expertise in analytical & creative problem solving to synthesise data solution designs (build a solution from its components) beyond the analysis of the problem
- Meaningfully contribute & ensure solutions align to the design & direction of the Group Architecture & in particular data standards, principles, preferences & practices.
- Short term deployment must align to strategic long term delivery.
- Stay ahead of the curve on data retrieval, storage & distribution technologies & processes (global best practices & trends) ensuring best practice.
- Ensure solutions align to the design and direction of the Group Infrastructure standards and practices e.g. OLAs, IAAS, PAAS, SAAS, DAAS Containerisation etc.
- Adhere to Business data storage requirements as well as an legislation
- Provide consulting and learning to other areas to continually create a fertile area for data centric thinking. - Knowledge sharing - Mentoring
- Take one stop shop accountability for the retrieval, storage, processing & distribution of data across a business area (data eco-system)
- Perform all other duties as reasonably assigned.
Originally posted on Himalayas
本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。
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