Data Architecture
Responsibilities
? Being responsible to define architectures for data acquisition and transmission over different
communication channels into a data cloud as well as the design and implementation of the defined
solutions.
? Optimize and tune the performance of data systems to ensure efficient data processing and analysis.
? Collaborate with application development team, global data team, infrastructure team and product
management team to understand data requirements and implement solutions for data modeling and
analysis.
? Identify and resolve data quality issues, ensuring data accuracy, consistency, and completeness.
Implement and maintain data governance and security measures to protect sensitive data.
? Monitoring infrastructure and applications hosted on cloud environments (e.g.: AWS, Azure) and
engaging on proactive support with platform teams, end-users or projects.
? Being responsible for providing technical leadership and defining, developing, and evolving data in a
fast paced and agile development environment using the latest data related technologies and
infrastructure.
? Identifying impacts of changes in sources of data, code and platforms.
? ?負(fù)責(zé)定義數(shù)據(jù)采集和通過(guò)不同通信通道傳輸?shù)綌?shù)據(jù)云的架構(gòu)，以及定義的解決方案的設(shè)計(jì)和
實(shí)現(xiàn)。
? 優(yōu)化和調(diào)整數(shù)據(jù)系統(tǒng)的性能，以確保有效的數(shù)據(jù)處理和分析。
? 與應(yīng)用程序開(kāi)發(fā)團(tuán)隊(duì)、全球數(shù)據(jù)團(tuán)隊(duì)、基礎(chǔ)設(shè)施團(tuán)隊(duì)和產(chǎn)品管理團(tuán)隊(duì)合作，了解數(shù)據(jù)需求并實(shí)
施數(shù)據(jù)建模和分析的解決方案。
? 識(shí)別和解決數(shù)據(jù)質(zhì)量問(wèn)題，確保數(shù)據(jù)的準(zhǔn)確性、一致性和完整性。實(shí)施和維護(hù)數(shù)據(jù)治理和安全
措施，以保護(hù)敏感數(shù)據(jù)。
? 監(jiān)控托管在云環(huán)境（例如：AWS、Azure）上的基礎(chǔ)設(shè)施和應(yīng)用程序，并積極參與平臺(tái)團(tuán)隊(duì)、
最終用戶或項(xiàng)目的支持。
? 負(fù)責(zé)在快節(jié)奏和敏捷的開(kāi)發(fā)環(huán)境中使用數(shù)據(jù)相關(guān)技術(shù)和基礎(chǔ)設(shè)施，提供技術(shù)領(lǐng)導(dǎo)和定
義，開(kāi)發(fā)和發(fā)展數(shù)據(jù)。
? 識(shí)別數(shù)據(jù)源、代碼和平臺(tái)變化的影響。
Qualifications
? 大學(xué)本科或以上學(xué)歷，計(jì)算機(jī)，信息專業(yè)或者相關(guān)專業(yè)
? 10 年左右在數(shù)據(jù)設(shè)計(jì)（Data design）或者數(shù)據(jù)工程（Data Engineering）相關(guān)經(jīng)驗(yàn)
? 熟練掌握 PostgreSQL 以及 Oracle 數(shù)據(jù)庫(kù)概念，能夠熟練編寫(xiě) SQL 語(yǔ)句
? 對(duì)分布式數(shù)據(jù)處理（e.g. Spark）有一定的項(xiàng)目經(jīng)驗(yàn)，有數(shù)據(jù)庫(kù)數(shù)據(jù)遷移經(jīng)驗(yàn)
? 有 ERP 系統(tǒng)使用經(jīng)驗(yàn)（e.g. SAP）
? 能熟悉使用 ETL 工具，并且編寫(xiě) ETL 查詢及配置字段映射
? 對(duì)數(shù)據(jù)展示有一定的經(jīng)驗(yàn)（e.g. Tableau, Power BI）
? 熟練使用 Azure 云平臺(tái)提供的與數(shù)據(jù)相關(guān)的服務(wù)
? 熟練使用 Docker 以及 K8s
? 能夠熟練使用英語(yǔ)進(jìn)行工作交流
? 工作積極主動(dòng)，有良好的團(tuán)隊(duì)合作