Top Data Engineer Jobs in Tokyo
As a Japanese Speaking Data Engineer, you will collaborate with Japanese clients to define requirements and deliver data solutions. Responsibilities include modeling data, building data pipelines on Cloud and On-Premise, and working with analytics experts to enhance data systems functionality.
The Data Engineer will design and implement scalable data architecture and processing systems for Woven City. Responsibilities include managing data flow health, collaborating with cross-functional teams, and ensuring documentation and code maintainability. This role will contribute to the innovative data platform for various services within Woven City.
The Data Engineer II will enhance existing business analytics solutions, perform data mining to support sales and market growth, ensure data quality and integrity, analyze datasets for trends, and collaborate across teams for performance forecasting and reporting.
As a Data Engineer at Capital Group, you will design and implement data solutions, maintain data processing pipelines, and ensure code quality. Collaborating closely with business teams, you will support data-driven decision-making while mentoring junior associates.
Collaborate with analysis and development teams on data modelling activities, contribute to data application projects, possess expertise in data warehousing and big data technologies, and demonstrate strong communication skills.
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The Principal Data Engineer will guide the technical planning and development of critical sales tools and business workflows, focusing on data analysis for decision-making. Responsibilities include managing ETL data pipelines, leading the design and implementation of data products, mentoring engineers, and improving data engineering practices while collaborating with various stakeholders.
Responsible for data business development, data governance, and data platform maintenance in a top cryptocurrency exchange. Requires expertise in Python, big data platforms, SQL, and database management. Strong communication and problem-solving skills.
The Sr Cloud Data Engineer will lead data integration efforts, create and maintain data management standards, develop data pipelines using AWS services, manage complex data models, and present data insights to both technical and non-technical stakeholders. They will ensure data quality and facilitate collaboration among various departments.
The Senior Data Engineer will shape data strategies, address data warehousing challenges, lead design reviews, and mentor junior engineers. Responsibilities include architecting scalable systems and automating cloud infrastructure in a data-driven atmosphere within Autodesk's Customer Success Organization.
As a Senior Data Engineer at Quantexa, you will implement innovative data analytics technology across multiple domains, manage and transform large data sets, and collaborate with solution architects. Your role involves writing efficient code, configuring Quantexa software, and articulating technical concepts to non-technical clients as you tackle challenges in fraud, financial crime, and risk management.
The Senior Data Engineer will enhance data processing and analytics pipelines, focusing on scalability, reliability, and business insights. Responsibilities include automating cloud services, developing CI/CD pipelines, and collaborating with stakeholders for analytical needs and product metrics.
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