Top Data Engineer Jobs in Japan

As a Senior Data Engineer, you'll build and maintain data pipelines, databases, and report infrastructures crucial for operational metrics and analytics. You'll ensure data integrity and support analytics needs, empowering teams across the organization with timely and accurate data. Your expertise will help enhance reporting capabilities for both internal operations and clients.

The Staff Data Engineer will design scalable datasets, implement integrations using cloud technologies, and analyze data to derive actionable insights. A key focus will be fostering collaboration with cross-functional teams, prioritizing simplicity and usability in data models, and driving business value through certified data solutions.

The Lead Data Engineer will develop and optimize data infrastructure, build and maintain ETL pipelines, manage data warehouses, and collaborate with Data Science teams to support ML model deployment. The role emphasizes data integrity and the performance of data systems.

The Lead Data Engineer will design and build advanced ingestion pipelines using Databricks and AWS technologies while ensuring data quality and governance. Responsibilities include developing data transformations, collaborating with data teams, and keeping up with big data trends.

Design and build ingestion pipelines using ELT and schema on read in Databricks delta lake, develop data transformations, provide technical expertise in design and implementation of Ratings Data Ingestion pipelines, maintain data environment for speed and accuracy, collaborate with data teams, ensure data governance and compliance, evaluate new technologies.

The Senior Data Engineer will design and create infrastructure for real-time and batch analytics pipelines, facilitate best practices for data management, and collaborate across teams to optimize data solutions. Responsibilities include writing ETL processes, monitoring data pipelines, and enhancing data discovery to improve overall platform quality.

The Lead Data Engineer will create and maintain data pipelines, handle complex data transformations, and collaborate with development teams. Responsibilities include optimizing queries, automating processes, and improving data systems. The role requires troubleshooting and incident resolution while providing leadership to the team.

Looking for a Senior Data Engineer to develop and manage Data Pipelines, work with various data platforms, and optimize big data solutions. Must have experience in Apache Spark, SQL, and data warehousing. Strong problem-solving skills and effective communication are required.

As a Sr. Data Engineer, you will develop data infrastructure and pipelines, ensuring data is organized, centralized, and readily accessible. You'll support database planning, analyze new data sources, maintain data structures, and deliver user interfaces for further analysis.

As a Lead Data Engineer at Stellic, you will design scalable architectures, build data pipelines, mentor teams, and drive alignment on engineering priorities while ensuring high-quality implementations.

The Senior Data Developer will design and build a data and reporting ecosystem for the CRO organization. Responsibilities include developing BI dashboards, creating ETL pipelines, enhancing data models, and ensuring data quality. The role requires collaboration with stakeholders to deliver business requirements and support data analytics initiatives.

As a Staff Data Engineer on the Ads Data Science team, you will lead analytics engineering efforts, develop and maintain data pipelines, create user-friendly data tools, and mentor data analysts while driving a data-driven culture within Reddit.

Seeking an experienced Senior Data Engineer with 8+ years of hands-on expertise in data engineering to shape data architecture and pipelines for a fast-paced, data-driven environment. Responsibilities include leading the design and implementation of innovative data solutions, collaborating with cross-functional teams, and working on industries such as Oil & Gas, Titles & Leases, or Financial Services.

The Senior Data Engineer at onX is responsible for creating and maintaining the data ecosystem to enhance data discoverability. Responsibilities include designing scalable data pipelines using GCP services, developing data models, optimizing data processing for performance, ensuring data quality and security, and collaborating with cross-functional teams for effective data solutions.

The Data Engineer will collaborate with customers to understand their data management strategies, implement and optimize data solutions, design data architectures, and contribute to advanced analytics and machine learning implementations using AWS and IBM services. The role includes driving innovation and documenting data flows.

The Senior Data Engineer will lead the development and maintenance of data services and solutions for BEES. Responsibilities include designing data models, improving system architecture, developing data processing pipelines, and creating data products to meet operational needs. The role also involves monitoring and ensuring the accuracy of data quality processes.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, develop data warehouse architecture, and enable advanced analytics across the organization. You will collaborate closely with software engineers to ensure data quality, create data models, implement data governance, and develop data visualization tools, all while mentoring team members and establishing best practices.