Data Engineering
Responsibilities
? Identify and resolve data quality issues, ensuring data accuracy, consistency, and completeness.
Implement and maintain data governance and security measures to protect sensitive data
? Collaborate with application development team, global data team to understand data requirements and
implement solutions for data modeling and analysis.
? Optimize and tune the performance of data systems to ensure efficient data processing and analysis.
? Identifying impacts of changes in sources of data, code and platforms.
識別和解決數(shù)據(jù)質(zhì)量問題，確保數(shù)據(jù)的準(zhǔn)確性、一致性和完整性。實施和維護(hù)數(shù)據(jù)治理和安全
措施，以保護(hù)敏感數(shù)據(jù)與應(yīng)用程序開發(fā)團(tuán)隊，全球數(shù)據(jù)團(tuán)隊合作，了解數(shù)據(jù)需求并實施數(shù)據(jù)建
模和分析的解決方案。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。識別數(shù)據(jù)
源、代碼和平臺變化的影響。
Qualifications
Required Qualifications:
? 熟練掌握 PostgreSQL 數(shù)據(jù)庫基本概念，并對 Oracle 數(shù)據(jù)庫有一定的了解
? 能夠熟練編寫 SQL 語句，需要在日常工作中經(jīng)常編寫 SQL
? 對分布式數(shù)據(jù)處理 Spark 有一定的項目經(jīng)驗，對 PySpark 有一定的了解
? 對 ERP 系統(tǒng)的使用有一定的了解
? 能夠使用英語進(jìn)行工作交流
? 工作積極主動，有良好的團(tuán)隊合作
Preferred Qualifications:
? Knowledge of Cloud Technologies e.g. AWS, Azure, Cloud Storage such as S3 /Blob
? Strong problem-solving and analytical skills, with the ability to handle complex data challenges.
? Solid understanding of data modeling, data warehousing, and ETL principles.
? Experience with data visualization and reporting tools (e.g., Tableau, Power BI) is an added advantage
? Experience with ERP system, (e.g., SAP) is added advantage
? 了解云技術(shù)，如 AWS， Azure，云存儲，如 S3 /Blob
? 較強(qiáng)的問題解決和分析能力，能夠處理復(fù)雜的數(shù)據(jù)挑戰(zhàn)。
? 對數(shù)據(jù)建模，數(shù)據(jù)倉庫和 ETL 原理有扎實的理解。
? 具有數(shù)據(jù)可視化和報告工具（如 Tableau， Power BI）經(jīng)驗者優(yōu)先考慮
? 有 ERP 系統(tǒng)（如 SAP）使用經(jīng)驗者優(yōu)xian