Data Engineer, Credit Modeling

About PayPay

PayPay, a fintech company that achieved more than 47M users within around 3 years since its launch in 2018 has hugely diversified employees who are from 40 different countries. The number of employees by now is more than 1,000 staff members, and yet the company is still incomplete and at a growing stage.

To build "PayPay", we allied with Paytm, the biggest payment service company in India. Based on their customer-first technologies , we created and expanded the smartphone payment service in Japan.

Our biggest competitor is "cash". We are seeking for people who can accept this challenge positively, brush up the product at a tremendous speed that other companies could never achieve, and who are passionate about promoting and spreading such a financial life platform in a short time along with professionalism.

About our working style, we had introduced a new personnel system called WFA (Working From Anywhere*). At PayPay, we work fully remotely in Japan. Therefore, the working place or your living place doesn't matter. Even if you are living in a local area, the salary and benefit package will be at an international level while you enjoy working with world class colleagues. You will find such a way of working at PayPay! *This WFA policy is applicable only within Japan.

Position

PayPay is looking for a Data Engineer for the Credit Modeling team to conceptualize, design and implement improvements to ETL processes and data through independent communication with data-savvy stakeholders.

Responsibilities: 

• Design, build, and maintain distributed batch and real-time data pipelines and data models
• Facilitate real-life actionable use cases leveraging our data with a user- and product-oriented mindset
• Be curious and eager to work across a variety of engineering specialties (i.e., Data Science, and Machine Learning to name a few)
• Support teams without data engineers with building decentralized data solutions and product integrations, for example around DynamoDB
• Enforce privacy and security standards by design

Your qualification

• +3 years experience building complex data pipelines and working with both technical and business stakeholders
• Experience in at least one primary language (e.g., Java, Scala, Python) and SQL (any variant)
• Experience with technologies like BigQuery, Spark, AWS Redshift, Kafka, or Kinesis streaming
• Experience creating and maintaining ETL processes
• Experience designing, building, and operating a DataLake or Data Warehouse
• Experience with DBMS and SQL tuning
• Strong fundamentals in big data and machine learning

Preferred Qualifications

• Experience with RESTful APIs, Pub/Sub Systems, or Database Clients
• Experience with analytics and defining metrics
• Experience with measuring data quality
• Experience productionalizing a machine learning workflow; MLOps
• Experience in one or more machine learning frameworks, including but not limited to scikit-learn, Tensorflow, PyTorch and H2O
• Language ability in Japanese and English is a plus (We have a professional translator but it is nice to have language skills)
• Experience with AWS services
• Experience with microservices
• Knowledge of Data Security and Privacy
• Bilingual Japanese-English

What we offer

• Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
• 401K
• Language Learning support
• Translation/Interpretation support
• VISA sponsor + Relocation support

Additional details

PayPay 5 senses

• Please refer PayPay 5 senses to learn what we value at work.

Employment Status

• Full Time

Office Location

• WFA(Work From Anywhere at Anytime)
• Remote Job
• You can live anywhere in Japan

Work Hours

• Super Flex Time (No Core Time)
• In principle, 10:00am-6:45pm (actual working hours: 7h45m + 1h break)

Holidays

• Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days

Paid leave

• Annual leave (up to 14 days in the first year, granted proportionally according to the month of employment. Can be used from the date of hire)
• Personal leave (5 days each year, granted proportionally according to the month of employment)

*PayPay's own special paid leave system, which can be used to attend to illnesses, injuries, hospital visits, etc., of the employee, family members, pets, etc.

Salary

• Annual salary paid in 12 installments (monthly)
• Based on skills, experience, and abilities
• Reviewed twice a year
• Special Incentive once a year *Based on company performance and individual contribution and evaluation
• Late overtime allowance, Work from anywhere allowance (JPY100,000)