With over 30 million registered users (as of June 2020), about a quarter of Japan’s population, PayPay is the country’s most popular mobile wallet.
Our international origins make us diverse at the core
PayPay started as a collaboration between Paytm, SoftBank, and Yahoo Japan, bringing together teams in Canada, India, and Japan. As we’ve grown, we’ve continued to embrace this diversity, and about 50% of our engineers are non-Japanese.
Japanese NOT required
Despite having a product aimed at the Japanese market, we’ve built our company so that English-speaking engineers can contribute at all levels, and a lack of Japanese ability will not hold you back. About 80% of our product team speaks English, and we have interpreters who can provide simultaneous translation when necessary.
If you’re an international engineer, we’ll also assign you a dedicated HR person who can help you with any Japanese translation or bureaucracy that comes up in your day to day.
Free Japanese lessons on company time
Of course, living in Japan, having Japanese skills will help to make your personal life more fulfilling, and so we do offer free Japanese lessons that can be scheduled during normal working hours.
Work remotely and on your own schedule
In response to COVID-19, we moved to working remotely. This proved so successful that we’ve announced our “Work From Anywhere at Anytime” policy. Even after COVID-19 settles down, we’ll continue to allow employees to work from anywhere in Japan, and set their own hours.
Incredible scale using the latest technologies
PayPay launched on October 5th, 2018, making us still quite a young service. Despite this, we have built a system that handles over 1000 transactions per second. This combination of both scale and modern technologies makes working with us a rather unique opportunity.
Make your own decisions
Despite our scale, our engineers still have a great deal of autonomy, both from the perspective of the choice of technologies you apply, and also your role within the company. If you see something that can be improved, you’re encouraged to take it on. There’s no need to be constrained by an overly restrictive job description, and you can easily change roles within the company.
Our response to COVID
We’ve transitioned to remote work to ensure employees safety during COVID, and we’ll continue this even after it subsides. While we’re open to considering engineers looking to relocate to Japan, travel restrictions have made it difficult to give a clear timeframe for relocation. Should we extend you an offer, we’ll apply for a certificate of eligibility for you, that will make obtaining a visa trivial once the borders open, and we’re open to making special accommodations, such as starting you on a remote contract.
- Application Review (1-2 weeks). We review your profile based on your submitted materials.
- Code challenge (online). We send you a code challenge after reviewing your resume. Please be prepared to take code challenge after submitting your application! It takes at most 3-4 hours to complete.
- 1 - 3 Interviews (online). You will have 1 to 3 interviews with our engineers and HR.
About the position
PayPay is looking for a Data Engineer to work on our payment system to deliver the best payment experience for our Japanese customers.
Our ideal candidate is an problem solver and a learner at heart. You should have a very high degree of comfort in a programming language of your choice. We offer a flexible work schedule and you get your choice of tools (both hardware and software) and most importantly, the opportunity to work on tough problems with the brightest minds around you.
- Work directly with Data Analysts and Platform Engineering Team to create reusable experimental and production data pipelines
- Understand, tune, and master the processing engines (like Spark, Hive, Cascading, etc) used day-to-day
- Keep the data whole, safe, and flowing with expertise on high volume data ingest and streaming platforms (like Spark Streaming, Kafka, etc)
- Sheppard and shape the data by developing efficient structures and schema for the data in storage and transit
- Explore as many new technology options for data processing, storage, and share them with the team
- Develop tools and contribute to open source wherever possible
- You have previously worked on building data pipelines ingesting and transforming large number of events per minute and terabytes of data per day.
- You have worked with Spark and Kafka before and have experimented or heard about Flink/Druid/Ignite/Presto/Athena and understand when to use one over the other. Preferralbly, you have worked with cloud based big data processing platform such as AWS EMR, Google Cloud DataProc.
- You are passionate about producing clean, maintainable and testable code part of real-time data pipeline.
- You understand how microservices work.
- You can connect different services and processes together even if you have not worked with them before and follow the flow of data through various pipelines to debug data issues.
- You understand issues with ingesting data from applications in multiple data centres across geographies, on-premise and cloud and will find a way to solve them.
- Proficient in Java/Scala/Python/Spark
- Software development experience in one or more general purpose programming languages, preferably Scala.
- Experience with implementing platform components such as RESTful APIs, Pub/Sub Systems, Database Clients.
- Experience with AWS services.
- Contribution to open source projects.
- Knowledge about the Japanese payment industry