Senior Data Engineer
Confirmed live in the last 24 hours
Paidy Inc/Paidy合同会社
Job Description
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About Paidy Inc. |
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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. Please note that you must already hold valid working rights to work in Japan. |
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About Position |
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The Data Engineering Department provides the technical service around the company’s business data and information, and its derivatives. This service is a crucial part of Paidy's external surface and internal business intelligence. The Department provides services including capturing datasets from any business activities, performing curation, maintaining its availability, deriving strategy and implementing solutions covering integrity, resilience and scalability. In addition, by assisting business initiatives on data analytics and reporting. As per the component stack, the Data Engineering Department and its services will depend on most, if not all activities within Paidy. |
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Key Role and Responsibilities |
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The Senior Data Engineer should be able to understand the business, technical requirements and implement solutions accordingly. (S)he should also have hands-on experience in application development, in-depth knowledge in programming languages and data storage technologies. Duties and responsibilities include: ● Supporting the well-being of deployed data services. ● Enhancing the operation and monitoring facilities. ● Implement scalable data pipeline from various Paidy platforms, data warehouse, or 3rd party services. ● Following business or technical initiatives, implement data solutions accordingly. ● Being domain expert in data semantic, providing advisory on business intelligence requests. ● Managing reporting facilities; implementing and promoting self-service reporting tools. ● Performing evaluation of technology, POC and feasibility analysis. ● Support and manage a growing team of Data Engineers |
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Skills and Requirements |
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● A bachelor’s degree in computer science, Information Technology or a related subject ● 5+ years of experience in software development. ● Strong software development skills in OOP languages. ● Good knowledge of resource constraints analysis and performing tuning. ●& gorustmachine learningaiiosandroiddataanalytics |
