- Jobs
ResumeCreate your job-winning resume using our free resume builder.
PortfolioShowcase your skills and projects with a professional portfolio.ResumeCreate your job-winning resume using our free resume builder.Resume BuilderMake a resume for free.Resume TemplatesAccess our extensive library of professional & ready-to-use templates.Resume ExamplesGet inspired by real resume examples to create your own.Occupation GuideAccess resume writing guides tailored for different professions.Resume HelpGet expert advice on all things resume from our team of recruitment specialists.- ResourcesSuccess StoriesBusiness ExcellenceAbout CakeResumeFeatured Reads
- Hire
- Download our App
Data Engineer (Analytics)
Job Description
Responsibilities
- Develop and maintain data pipelines for efficient data collection and processing.
- Collaborate with data analysts and data product managers to collect business requirements, define successful analytics outcomes, and design data models.
- Ensure data accuracy and quality across all upstream and downstream data pipelines.
- Establish a robust data governance framework and foster a data-driven culture.
Minimum qualifications
- Minimum of 2 years of hands-on software development experience in languages, including Python, Scala, Java, Golang, etc.
- Proficiency in developing robust data pipelines, including data collection and ETL (Extract, Transform, Load) processes.
- Strong expertise in SQL and experience in optimizing the performance of relational database management systems(RDBMS) to ensure efficient data retrieval and processing.
- Design and develop analytics tools that leverage the data pipeline to provide valuable insights into customer needs, operational efficiency, and key business performance metrics.
- Thorough understanding of distributed systems, including Hadoop, Presto, Spark, etc.
Preferred qualifications
- Experience in utilizing cloud data warehouse solutions, including Snowflake, BigQuery, and Redshift.
- Experience working with cloud services, including AWS, GCP, and Azure.
- Experience in developing data transformations using DBT(Data Build Tool).
- Experience in establishing and implementing data governance practices.
- Solid understanding of basic mathematics, including statistics and experimental design.
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 】
2010.07 Whoscall 首次上架Google Play 平台
2013.12 LINE 母公司 NAVER以新台幣5.29億元投資 Gogolook
2014.12 Whoscall 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
2018.02 Whoscall 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
2021.11 Whoscall 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
Team
