Top Data Engineer Jobs in Japan

As a Data Engineer IV, you will create and maintain data support systems, process raw data, implement code and scripts, and work with stakeholders on data requirements. Your role involves maintaining and improving data through ETL processes and developing machine learning data pipelines.

The Sports Data Engineer is responsible for modernizing the tech stack, gathering and verifying data, creating statistical models, and translating complex analytics into understandable content. They will collaborate with the Analytics team and external partners to develop new products and improve the dissemination of metrics, while engaging with the sports analytics community.

As a Data Engineer at PNC, you will be responsible for developing and implementing data services and solutions across multiple applications, ensuring scalability, maintainability, and data security. You'll work in Agile teams to support business objectives through data analysis and infrastructure design.

As a Data Engineer at Apex Fintech Solutions, you will design and optimize data pipelines, develop data products, enhance data quality, and collaborate with stakeholders to meet data requirements while ensuring compliance and operational support for data products.

As a Data Engineer IV, you'll maintain data support systems for reporting and analytics, develop and implement code, manage ETL processes, and collaborate with analysts and data scientists to meet data demands. Your role will involve creating scalable systems and pipelines, ensuring data quality and reliability.

The Principal Data Engineer will lead technical strategy in designing and building scalable data platforms and architectures. This role involves mentoring engineers, ensuring effective data pipelines, and collaborating with multiple teams to align data strategies with business needs, fostering a collaborative environment within the Data community.

As a Data Engineer III at JPMorgan Chase, you will design and implement data collection and analytics solutions, maintain critical data pipelines, and ensure data architecture meets business objectives. You will work closely with business stakeholders, conduct technical analysis, and leverage advanced data management skills to support audit functions.

The Data Engineer will develop scalable ETL pipelines, manage data warehousing solutions, ensure data quality, and maintain data security practices. They will work closely with various stakeholders to deliver timely datasets and optimize data delivery while adhering to governance principles.

The Data Engineer at UL Solutions will develop ETL/ELT pipelines, manage data ingestion and egress frameworks, and collaborate with cross-functional teams to enhance the data maturity of the organization. The role emphasizes continuous improvement and innovative data solutions.

The Data Engineer at Arcadia will design, build and test data connectors and ingestion pipelines, contributing to the integration of client claim and clinical data platforms. Responsibilities include peer code reviews, sprint planning, and maintaining JIRA tasks. The role requires problem solving for coding and data analysis issues within a dynamic healthcare environment.

The Data Engineer is responsible for designing, implementing, and maintaining the data infrastructure to support business intelligence and analytics. Key tasks include developing scalable ETL/ELT pipelines, optimizing data workflows, and ensuring data quality while collaborating with cross-functional teams.

As a Data Engineer at Magna, you will design, develop, and maintain backend systems and APIs. Your role involves leveraging cloud platforms for deployment and ensuring high-performance and secure application infrastructure, including database management and collaboration with cross-functional teams.

As a Data Engineer at Peloton, you will build and maintain data pipelines to support analytics and reporting across various business verticals, collaborate on best practices for the data platform, and implement ingestion pipelines using Apache Spark and Hudi.

The Data Engineer will build and manage analytical data models and pipelines to support various business needs across Atlassian. Responsibilities include owning problems end-to-end, developing technical solutions for data ingestion and processing, and collaborating with teams to adapt to evolving requirements.

The role focuses on creating Vehicle Communication Interfaces (VCIs) for low-volume production vehicles. Responsibilities include comprehending manufacturing data, gathering service programming requirements, updating databases using SQL, and assisting technicians with programming issues.

The Data Engineer will develop scalable data ETL pipelines, manage data warehousing solutions, ensure data integrity, and implement data security practices. This role involves collaboration with stakeholders to provide high-quality datasets and effective communication of technical concepts.

As a Data Engineer, you will leverage diverse data sources to assist stakeholders in product development and decision-making. Responsibilities include building scalable data pipelines, integrating various technologies, and improving data availability and consistency. You will work closely with business teams and implement best practices for data management.