Data Engineer

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Job details

Company overview

We are a mobile payment service provider. We provide a system that allows consumers to easily make electronic payments and transfers through smartphone applications. In particular, we promote the use of QR code payments and digital wallets, which are widely used in stores and online. With an emphasis on safety and convenience, we have created an environment in which users can use our services with peace of mind. In addition, we are working to enhance user convenience through various campaigns and special offers. We are contributing to the realization of a cashless society in Japan, aiming to stimulate economic activity and improve the convenience of consumers' lives.

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.
• Conceptualize, design and implement improvements to ETL processes and data through independent communication with data-savvy stakeholders.

Requirements

• +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.
• ビジネスレベルの日本語もしくは英語（英語スキルは必須ではありません）

 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.

Salary

8 - 12 million yen

Location

Tokyo