Job Description:
Business Overview
Are you interested in building the next generation of internet services that reach hundreds of millions of users across the globe every day?
Rakuten is on a mission to empower individuals and society through innovation and entrepreneurship. Today we have 70+ businesses across a range of sectors, with a key part of this being our presence in FinTech.
Rakuten Payment’s large-scale platforms enable users and merchants to conveniently and safely make and accept payments. We strive to delight our users with our Rakuten membership and loyalty programs.
Department Overview
Sitting within Rakuten Payment’s System Division, the System Strategy Office (SSO) plays a crucial role in this. We focus on developing the next Payment platforms that will become the foundation of Japan’s social infrastructure to support users’ daily lives now and into the future.
Position:
Why We Hire
We are looking for a Data Engineer to help drive progress for our key initiatives.
As part of our team, you will get to see behind the scenes of the technology that enables modern, online life. Together, with your help, we aim to turn vision into a reality and deliver the next generation of payment technologies.
Position Details
- Design, build, and maintain the infrastructure and systems needed to process, store, and analyze data.
- Contribute to development and growth of the Payment Data Platform.
- Support Data Science team to enable reliable and secure access to the data.
-Automate the movement and transformation of data.
- Contribute actively to the technical discussions.
-Focus on clarity, robustness, security and ease of use.
Work Environment
Technical Stack:
- Public Cloud: GCP, Azure.
-Data stores: MySQL, MariaDB, ETCD, Redis, InfluxDB.
- Container orchestration: Kubernetes.
- Data platform tools: Kafka, Redpanda, Debezium.
- Observability: ElasticSearch, Grafana.
Mandatory Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics or related field.
- Hands-on experience with building and managing scalable ETL data pipelines.
- Experience integrating data from various sources (APIs, third-party services, flat files, databases).
- Experience with Public Cloud (preferably Azure and/or GCP).
- Proficiency in SQL database design.
- Understanding of application/system security.
- Ability to work effectively with cross-functional teams such as data scientists, business analysts, and software engineers.
- Excitement to work in a multicultural, international working environment.
Desired Qualifications:
- Hands-on experience with data pipelining, message brokers (Kafka, Redpanda, etc.).
- Experience with visual design for the
presentation of data.
- Experience in other technical roles such as software engineer, data analyst, data engineer, data scientist.
- Experience developing software using modern languages and practices.
- Interest in Machine Learning, Artificial Intelligence and/or similar areas.
Other Information:
Additional information on Location
Tokyo, Shinagawa / Osaka
Additional information on Secondment
Secondment to Rakuten Payment from Rakuten Group.
Additional information on Transfer
Transfer possible
#engineer #datascientist #fintechgroup #RakutenPay
Languages:
English (Overall - 4 - Fluent)Other Jobs from Rakuten
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