Rakuten

Data Engineer - Measurement & Insight Section, Analytics Data Engineering Department (ADED)

Tokyo, Japan
Hadoop Docker Java Go MySQL MariaDB SQL Kubernetes Python Spark
Description

Job Description:

Business Overview

Rakuten group has almost 100 million customer base in Japan and 1 billion globally as well, providing more than 70 services in a variety such as e-commerce, payment services, financial services, telecommunication, media, sports, etc.

 

Department Overview

Following the strategic vision “Rakuten as a data-driven membership company”, we are expanding our data activities across our multiple Rakuten group companies.

Our mission is to provide data/AI related products to users to improve marketing efficiency and effectiveness.

Position:

Why We Hire

In order for our section to expand the capability of our applications further,

we are looking for a d­­­­ata engineer who can contribute to developments of our data infrastructure.

 

Position Details

Title

Data Engineer

Job Level

Senior

Overview

This position will be in charge of the development of data infrastructure and data pipelines for our in-house application in the marketing domain.

A successful applicant would also drive technical projects, including but not limited to technology management (code reviews, technical decision making, etc.) and would provide leadership in an innovative and fast-paced environment.

The main responsibilities include but are not limited to:

- Development of data infrastructure (DBs, schedulers, etc.)

- Development of data-marts and ETL/ELT pipelines

- Operations as a database admin

 

Work Environment

Our Tech Stack

While we advocate for using the right technology for the right task, we often leverage the following technologies:

DBT, Trino, MariaDB, Cloud SQL, BigQuery, Hadoop, Docker, Kubernetes, Helm, Argo Workflow, Python, SQL, etc.

Team

International and diverse team with highly skilled engineers, business professionals, data analyst and scientist (around 40 members in total)

 

Mandatory Qualifications:

Engineering experience
- 7+ years experience in building and delivering production services or equivalent skills

- Senior level in one of the major/modern computer languages including but not limited to Python, C/C++, Java, or Go, etc.

- Expertise on databases and distributed processing technologies (e.g., MySQL, PostgresSQL, Hadoop, Spark, Trino)

- Bachelor's degree in Computer Science (or related technical/scientific field) or equivalent practical experience

- Experience with Cloud Native Technologies (E.g. Docker, Kubernetes)

- High level understanding of modern Data Engineering trends

Language

Business-level English

 

Desired Qualifications:

- Interest and ability to learn other coding language(s) or new technologies(s) as needed

- Experience with BI tools

- Experience with GitLab CI & Argo/ArgoCD

- Experience with MLOps

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