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The current team at Gogolook is mainly responsible for application development in the FinTech area. We use rich data sources to develop value models, so we are looking for data quality engineers who are passionate about data engineering validation.
As a data quality engineer, you will be responsible for validating data pipelines and ensuring the accuracy of the datasets that are produced. You will use various testing techniques including automated tests, statistical analysis tests, scripting to produce QA reports that will support the development teams and also final data quality reports to accompany the final deliverables.
The primary goal for this role is to ensure high quality of data delivered to internal stakeholders and customers. Validation of metrics and data in reports/dashboards against data in the data warehouse is a key responsibility. Principal responsibilities are to make data assets consistently accurate for users.
Your Role and Responsibilities
[Hard skills]
[Soft skills]
[Plus]
線上遠端工作形式,固定每週團隊線上會議
Gogolook 不斷在尋找想與我們一起挑戰全世界的夥伴,我們提供開放自由的工作環境、優於一般企業的員工福利與薪資結構,歡迎您提供履歷與過去的作品,我們將盡快與您連繫。
公司目前執行 Remote First 政策,歡迎優秀人才加入我們。
● 每年 12 天年假起跳
高於業界天數,新人入職也能享有 12 天年假
● 綠洲假
每月無需理由可享有一天下午四點整下班,提早跟家人、朋友相聚
● 彈性的上班時間
每天九點到十一點裡要幾點來都好,八小時工作時數主管同意就可以
● 辦公地點交通方便 (就在捷運站出口)
古亭捷運站適合大安中正信義及三重蘆洲中永和土城淡水等通勤,交通便利
● 舒適的工作環境
辦公室享有極佳視野,讓你享受日落美景
● 週三餐點供應
早餐或是下午茶免費提供,正職、工讀生、實習生都能拿
● 免費咖啡與零食隨便吃
每週補充豐富零食,並有每罐飲料 5 大洋起的飲料販賣機
● 多元化的社團
每月都有社團補助費,運動健身社、電玩社、桌遊社、美劇社等讓你選
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