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Data Quality Engineer

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Job updated 1년 이상 ago

Job Description

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

  • Design, develop and maintain data quality assurance framework
  • Work in conjunction with Data Analyst, PM to understand data needs and interact with Data Engineers to understand ETL practices and data models to ensure high quality data deliverable
  • Analyze complex data logical to develop automated and reusable solutions for extracting requested information while assuring data validity and integrity
  • Track, monitor debugging process and deliver document testing results

Requirements

[Hard skills]

  • 3+ years of increasing technical knowledge and growth
  • Advanced in SQL and Python
  • Skilled in Data Wrangling and Exploratory Data Analysis (EDA)
  • Significant data testing experience delivering value to customers
  • Create test suites to validate accuracy and quality of generated data

[Soft skills]

  • Team-focused
  • Detail-oriented and highly self-motivated with solving undefined problems and challenges
  • Effective communication and execution ability, serious and responsible work attitude

[Plus]

  • Experienced working with large datasets
  • Experience working in an Agile/Scrum development process
  • BS/MS degree in Computer Science, Engineering or a related subject or equivalent professional experience in field
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1,000,000 ~ 1,300,000 TWD / year
100% Remote Work
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About us

【 關於Gogolook 】

信任科技服務商 Gogolook(走著瞧股份有限公司)成立於2012年,以「Build for Trust」為核心,建立由AI與數據驅動的全球化數位防詐與風險管理服務(Risk Management as a Service),從多元通訊、金融科技到企業 SaaS 服務,打造不同應用場景的信任賦能科技。Gogolook 為全球防詐聯盟 GASA 創始會員,並與台灣警政署刑事局、韓國金融監督院、泰國警政、日本福岡市政府、馬來西亞皇家警察與州政府共同防範詐騙問題,以東亞與東南亞最大的電話號碼資料庫為基礎,致力於創造一個「零詐騙環境」。

Gogolook is a leading TrustTech company established in 2012. With "Build for Trust" as its core value, it aims to create an AI- and data-driven global anti-fraud network as well as Risk Management as a Service. From multi-communication to fintech, SaaS and Web3, Gogolook creates trustworthy empowerment with the use of technology in various fields.

Gogolook has also teamed up with a number of institutes such as the Taiwan National Police Agency Criminal Investigation Bureau, the Financial Supervisory Service of South Korea, Thai Police Cyber Taskforce, the Fukuoka city government, and the Malaysia Selangor state government to fight fraud and ultimately, to build a trustworthy communication network with the largest database in East Asia and Southeast Asia.

【 創辦故事 】

2010.07Whoscall 首次上架Google Play 平台
2013.12LINE 母公司 NAVER以新台幣5.29億元投資 Gogolook
2014.12Whoscall iOS 版上架
2015.02收購香港小熊來電 App
2016.07與台灣刑事局165簽訂合作備忘錄,協同165反詐騙專線打擊詐騙
2017.07與韓國金融監督院、警察廳簽訂合作備忘錄
2018.02Whoscall 全球用戶破 6,000 萬,獲得國泰私募基金超過3億投資
2019.12推出「Whoscall 市話版象卡來」服務,讓家用電話遠離詐騙和騷擾
2020.07與日本福岡市政府開啟合作,共同防範詐騙問題
2020.09推出金融科技服務「袋鼠金融 Roo.Cash」
2020.09創辦人郭建甫榮獲第四屆總統創新獎
2020.10獲全球最大砷化鎵晶圓代工廠穩懋半導體投資
2020.11可疑訊息查證機器人美玉姨加入 Gogolook
2021.10與泰國警方簽署合作備忘錄,正式開啟防詐合作
2021.11Whoscall 全球下載突破 1 億次
2022.06首次跨足區塊鏈,投資新創 Chainsight
2022.10併購 AI 新創 Crowdinsight,強化風險管理服務
2023.01與馬來西亞皇家警察攜手合作,共同針對網路詐騙問題展開防範措施
2023.07獲選臺灣國家發展委員會 NEXT BIG 新創計畫
2023.07以「走著瞧-創(6902)」名稱於臺灣證交所創新板掛牌上市


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