11 Data Engineer jobs in Japan available for remote work from home. Apply for positions such as Data Engineer, Software Engineer, Data Infrastructure & Acquisition - Tokyo, Japan, Software Engineer, Data Infrastructure & Acquisition - Nagoya, Japan and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, develop, and maintain scalable data engineering solutions using Azure and Snowflake platforms. Build and optimize ETL/ELT pipelines to ingest, transform, and load data from various sources while ensuring data quality and security.
The role involves managing data collection and ingestion pipelines to support AI model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for consumer and enterprise products.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for future products.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists to optimize infrastructure for cost, throughput, and data quality.
You will be responsible for operating and extending cloud infrastructure for data ingestion pipelines to support model training. Additionally, you will collaborate with scientists and leadership to develop dataset roadmaps and find new sources of audio data.
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The Data Engineer will collect, process, and clean data while designing ETL pipelines and automation workflows to support business decisions. They will also conduct in-depth data analysis, build predictive models, and develop visualizations using BI tools to provide actionable insights to clients.
The role involves implementing source management and defining data ingestion pipelines to normalize client data. You will also ensure data quality standards are met and collaborate with customers to configure the platform to their needs.
The ETL Data Migration Validation Engineer will independently validate large-scale data migrations by performing complex SQL-based reconciliation and set-based comparisons. This role ensures the accuracy, integrity, and completeness of data moved from legacy systems to the modernized GMM platform.
The ETL Data Migration Validation Engineer will independently validate large-scale data migrations across platforms using complex SQL queries, focusing heavily on reconciliation strategies like set-based comparisons to ensure accuracy and integrity of over 100K records. Responsibilities also include validating schema alignment, transformation logic, and operating objectively from development teams to document findings and provide risk-based recommendations.
Design, build, and operate scalable data pipelines and platforms to support analytics and machine learning. Collaborate with data scientists and analysts to create reliable datasets and standardized data frameworks within a Data Center of Excellence.
Design, build, and operate scalable data pipelines and platforms to support analytics and machine learning. Collaborate with data scientists and analysts to create reliable datasets and contribute to the Data Center of Excellence (CoE) framework.
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