Data Engineer

2022/04/21
Paidy
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About Paidy Inc.

Paidy is Japan's pioneer and leading BNPL service with the mission to spread trust through society and to give people room to dream. Paidy offers instant, monthly-consolidated credit to consumers by removing hassles from payment and purchase experiences. Paidy uses proprietary models and machine learning to underwrite transactions in seconds and guarantee payments to merchants. Paidy increases revenue for merchants by reducing the number of incomplete transactions, increasing conversion rates, boosting average order values, and facilitating repeat purchases from consumers. Paidy has reached an agreement to join PayPal, the global payments company. Paidy will continue to operate its existing business, maintain its brand and support a wide variety of consumer wallets and marketplaces by providing convenient and innovative services.Paidy continues to innovate to make shopping easier and more fun both online and offline. For more information, please visit http://www.paidy.com. 

 

About Position

The Data management team in the Data department is the backbone of all data-related activities at Paidy, responsible for owning, managing, governing, cataloging, and provisioning a single source of truth for all data that has business value to Paidy. The team is also responsible for building and maintaining data pipelines for critical reports that keep Paidy's business running. 

We are seeking a data engineer to join this team and build together with us, focusing especially on building data pipelines for reporting. The day-to-day work involves discussing with business stakeholders to confirm reporting requirements, confirming metric definitions with the stakeholders and data and risk analysts, designing flexible data structures and data marts to efficiently transform the data, then authorizing, optimizing, deploying, and maintaining the queries at the core of the data pipeline to deliver a report. 

The ideal candidate will not only be able to handle the above day-to-day work, but also proactively identify and propose improvements to the reporting workflow itself, e.g. finding ways to optimize ETL pipelines and the ETL architecture behind reports with similar upstream data, proposing new processes to improve the report creation process, trying new techniques or technologies to validate report results and minimize report maintenance time, etc. 

Key Role & Responsibilities

  • Consult with business stakeholders on reporting needs, collect requirements, document report background and technical specification. Work with the same stakeholders to collect feedback on report contents. 
  • Conduct ad-hoc analysis to confirm requirements and important report metrics definitions, often working together with analysts in credit risk and/or data science. Identify, investigate, and solve data discrepancies in reports. 
  • Design and document ETL pipelines and data structures upstream from the final generated reports. Find ways to optimize the ETL in the pipeline and adjust data models/ structures upstream to increase flexibility, efficiency, or easy of achieving high accuracy in reports 
  • Monitor report generation, provide first line support for any issues with deployed reporting pipelines and generated reports 
  • Working with data scientists, design and deploy BI tool dashboards to add value to reporting pipelines for stakeholders (we use Looker) 
  • Contribute to data lake/warehouse development and other data integration projects

 


Skills and Requirements

  • A Bachelor Degree in Computer Science, Information Technology or a related subject 
  • 3+ year experience in data engineering or software development of data-intensive applications 
  • Strong skills in Python, Git, Docker, SQL, some ETL tool / job orchestration tool such as Airflow or Prefect (we use Prefect), ETL pipelines. 
  • Knowledge and experience with either Scala or Java a huge plus 
  • Knowledge and experience with Apache Spark a plus 
  • Experience on financial/accounting products or services, in particular technical implementation impact and consideration 
  • Creative Problem-solving skills, a passion for programming and solving problems with code
  • Paidy team will ask about your user experiences with Paidy Apps during the interview. Please download Paidy App and try it out!
    • iOS: https://apps.apple.com/jp/app/paidy/id1220373112
    • Android: https://play.google.com/store/apps/details?id=com.paidy.paidy&hl=en&gl=US
    • For those who are not able to download Paidy App, due to the regional restrictions, please be advised that you download the similar App, such as Klarna, Afterpay, Affirm and so forth, and come up with your opinions on these applications and services.
  • Please note that you must be eligible to work in Japan.

 

Paidy Values

Be a winner / 勝ちにこだわる

  • Beat expectations / 常に期待値を超える
  • Display surprising speed / 人をスピードで驚かす
  • Embrace risk / リスクを恐れない

Own it and deliver / 結果を出す

  • Commit to what, when and how to deliver/ 目的・やり方・期限にコミットする。
  • Own the actions to deliver / 結果のためのアクションにこだわる
  • Embrace conflict when needed to deliver results / 必要なら対立・衝突も恐れない

Play an integral role / 大切なピースになる

  • Make an irreplaceable contribution to our business / 替えの効かない貢献をする
  • Embrace and bridge differences in language and culture / 皆が言語と文化の架け橋になる
  • Raise the bar / スタンダードを上げ続ける

 

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