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Gogolook
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Senior Data Engineer

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Job updated about 6 hours ago

Job Description

About us
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, and SaaS, Gogolook creates trustworthy empowerment with the use of technology in various fields.
A founding member of the Global Anti-Scam Alliance (GASA), 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 Royal Police, the Fukuoka city government, the Philippines Cybercrime Investigation and Coordinating Center, and the Royal Malaysia Police and state government to fight fraud and ultimately, to build a trustworthy communication network with the largest number database in East Asia and Southeast Asia. In July 2023, TrustTech provider Gogolook completed its IPO listing on the Taiwan Innovation Board (TIB) of the Taiwan Stock Exchange (TWSE), under the ticker number 6902.

Why you should join Gogolook
1. Influential products: What we make are meaningful products that create values for society and defend against frauds.
2. Emphasize self-growth: We encourage technical community activities, subsidize tickets for conferences and workshops so that learning is continuously supported by the company.
3. Unleash your talent: We respect the professional opinions of everyone, encourage team members to discuss with each other, and make awesome products together.
4. Transparent culture: We publicly share the company's information to all, every member can read and feedback, and become a part of participating in the proposal.

The existing team at Gogolook is primarily engaged in application development within the FinTech sector. Leveraging a variety of rich data sources, we strive to create valuable models, thus, we are actively seeking data engineers who exhibit a strong passion for data platforms.

As a data engineer, you will assume a significant role in designing, developing, and maintaining our extensive ETL pipelines, storage, and processing services. Your responsibility includes ensuring the stability of ETL pipelines and integrating a variety of data sources comprehensively to support development and analysis teams. Your expertise is crucial for establishing a data platform, with an emphasis on achieving high flexibility and scalability. Your primary duties revolve around consistently guaranteeing the accuracy of data assets for users.

If you are enthusiastic about working at the intersection of data engineering and FinTech application development, this role offers a dynamic opportunity to contribute to the creation of precise and reliable data assets for impactful decision-making.

Responsibilities

  • 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.
  • Track, monitor debugging process and deliver document testing results.
  • Design, develop and maintain data quality assurance framework.
  • Analyze complex data logic to develop automated and reusable solutions for extracting requested information while assuring data validity and integrity.

Minimum qualifications

  • Minimum of 3 years of hands-on software development experience in languages including Python.
  • Hands-on experience with cloud platforms like AWS.
  • Proficiency in developing robust data pipelines, including data collection and ETL (Extract, Transform, Load) processes such as Airflow.
  • Experience designing and implementing various components of a data platform, including data ingestion, storage, data warehousing, data orchestration.
  • Strong expertise in SQL and experience in optimizing the performance to ensure efficient data retrieval and processing.
  • Thorough understanding of distributed systems, including Hadoop, Presto, Spark. etc.
  • Experience in continuous integration and continuous deployment (CI/CD) processes.

Preferred qualifications

  • Experience in establishing and implementing data governance practices.
  • Experience in machine learning platforms.
  • Experience in docker.
  • BS/MS degree in Computer Science, Engineering or a related subject or equivalent professional experience in the field.
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Full-time
・
Mid-Senior level
台灣臺北
1
Regular earnings reach NT$40,000
Partial Remote Work
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Logo of Gogolook.
Gogolook
Internet
51 - 200 people
台北市大安區敦化南路二段319號

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

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    Team
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    Avatar of the user.
    Jennifer Chuang
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    Jack
    Talent Acquisition Manager
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    Sharon Yu
    Talent Acquisition Specialist
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    Ben
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    Dam Su
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    crowdinsight crowdinsight
    CW