Data Engineer, Credit Modeling

薪資範圍:8,000,000 ~ 12,000,000 JPY / year

PayPay is a FinTech company that has grown to over 65M (as of August 2024) users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries.

OUR VISION IS UNLIMITED_

We dare to believe that we do not need a clear vision to create a future beyond our imagination. PayPay will always stay true to our roots and realize a vision (future) that no one else can imagine by constantly taking risks and challenging ourselves. With this mindset, you will be presented with new and exciting opportunities on a daily basis and have the opportunity to grow and reach new dimensions that you could never have imagined. We are looking for people who can embrace this challenge, refresh the product at breakneck speed and promote PayPay with professionalism and passion.

※ Please note that you cannot apply or be selected in parallel with PayPay Corporation, PayPay Card Corporation and PayPay Securities Corporation.

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.

Qualifications

+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

公司地址:

YOTSUYA TOWER 1-6-1, Yotsuya, Shinjuku-ku, Tokyo 160-0004, Japan

其他:

PayPay, a FinTech company, has achieved more than 65M users within around 6 years since its launch in 2018PayPay, a FinTech company that has achieved more than 65M users (as of August 2024) within around 6 years since its launch in 2018, is rapidly expanding its business scale as a payment platform used by approximately one out of every two smartphone users in Japan. The company has a diverse team of professionals from more than 50 countries and is building a world-class engineering organization.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.Click here to learn more about PayPay and hear the voice from our employees from Taiwan!<Voices of PayPay Developers>-2025-03-04

應徵