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8 дней назад

Junior Data Engineer (Cloud & AI-Ready Data Platforms)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Страна
Japan
Релокация
Japan
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TL;DR
Junior Data Engineer (Cloud & AI-Ready Data Platforms) (Cloud/AI/Data Engineering): Supporting cloud-based ETL/ELT pipelines, data platform migrations, and data infrastructure implementation with an accent on SQL, Python, cloud platforms, and AI-ready data ecosystems. Focus on developing data transformation workflows, troubleshooting platform issues, and monitoring enterprise data solutions.

Junior Data Engineer (Cloud & AI-Ready Data Platforms) - Tokyo, Japan

Conditions

Posted Date Oct 22, 2026 Employment Type Full-time Experience Level Not Applicable Location Japan Category ** ** Company **

Support the development of cloud-based data platforms and pipelines as a Junior Data Engineer, working with AI, cloud computing, and data engineering technologies. Assist in ETL/ELT, cloud migrations, and infrastructure implementation while building hands-on experience under senior engineers. Requires foundational SQL, programming, and cloud platform knowledge with a willingness to learn emerging technologies.

Key Highlights

On-site role in Tokyo, Japan for a global technology solutions provider specializing in AI, Cloud Computing, and Digital Transformation

Opportunity to work with leading cloud and big data technologies while accelerating technical growth in a collaborative environment

Junior-level position with mentorship from senior engineers, focusing on ETL/ELT, cloud migrations, and data infrastructure

Key Responsibilities

Support development, maintenance, and monitoring of cloud-based ETL/ELT data pipelines

Assist in migrating on-premises data warehouses to modern cloud data platforms and data lakehouse environments

Participate in cloud-based data infrastructure implementation and configuration using modern data engineering tools

Develop and maintain SQL queries, data transformation logic, and data processing workflows

Collaborate with senior engineers to troubleshoot technical issues and optimize data platform performance

Prepare and maintain technical documentation, design specifications, and operational manuals

Support testing, deployment, and operational monitoring of enterprise data solutions

Continuously learn and apply emerging cloud computing, big data, and AI-driven data engineering technologies

Looking to advance your Devops career with relocation support? Explore that include comprehensive packages to help you move and settle in your new role.

Technical Skills Required

SQL Python Cloud Platforms (AWS/Azure/GCP)

Benefits & Perks

Visa sponsorship encouraged

Relocation assistance offered

Discover our full range of with comprehensive support packages to help you relocate and settle in your new location.

Nice to Have

Experience with Git, Linux, Shell scripting, Databricks, or Snowflake

Basic knowledge of Data Warehouses, Data Lakes, or ETL/ELT processes

Interest in AI and Generative AI technologies

Job Description

Our client is a global technology solutions provider specializing in Artificial Intelligence (AI), Cloud Computing, Data Engineering, and Digital Transformation (DX). The organization partners with enterprise clients across multiple industries to build modern cloud data platforms, scalable analytics infrastructure, and AI-ready data ecosystems that support business growth and innovation.As demand for cloud-native data solutions continues to increase, the company is expanding its Data Engineering team to develop the next generation of data platforms while providing engineers with opportunities to work alongside experienced technical specialists using leading cloud and big data technologies.

Want the full job description? Read the complete details on LinkedIn, the original posting.

This is a short excerpt. All rights to the full description belong to its original publisher.

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