Data Engineer - REMOTE

About Paidy, Inc. Paidy is Japan's pioneer and leading BNPL service company. At Paidy we believe in creating simple, instant experiences to take the hassle out of shopping with a touch of magic. 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  .   About Position We are hiring a Data Engineer, reporting to the Head of Data Engineering. This Data Engineer will work closely with multiple stakeholders turning data into the information from which insights can be provided back to product and business leaders to inform our product design and features. Your responsibilities will include conducting full lifecycle analysis to include requirements, task and design(s). You will develop both analysis on source data systems as well as support reporting activities and capabilities. Our ambition is to be a Data Driven firm and you will assist in this endeavor in part by monitoring performance of source domain data systems, cleansing and identifying improvements.   Key Role and Responsibilities Paidy is a dynamic company and a Data Platform Engineer position requires many skills: data interpretation, databases, data cleansing, report data modeling, and others typically used in providing a solid data foundation to a data driven firm. Your responsibilities will be:

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement data collection and analytics systems
• Develop and implement strategies that optimize statistical efficiency and quality
• Acquire data from source as well as other systems and maintain databases/pipelines
• Identify, analyze, and interpret trends or patterns in product domains in source data systems.
• Filter and clean data

• 5+ years of experience of data engineering, software development, or infrastructure
• Good knowledge of and experience of:
• report generation
• ETLs
• Databases and Data Systems
• Postgres
• Cassandra
• Kafka 
• Software Development
• Python
• Java
• Scala
• Business level English with an ability to communicate with stakeholders from multiple disciplines

• Diversified team with 150+ colleagues from 30+ countries
• Exciting work opportunities in a rapid-growing organization
• Cross-functional collaboration
• Flexible work-from-home arrangement
• Competitive salary and benefits