Top Data Engineer Jobs in Japan
As a Principal Full Stack Engineer, you will architect and build ad verification and fraud solutions, lead the software lifecycle, mentor junior engineers, and collaborate with the product team to enhance ad analytics products. Your role includes ensuring best engineering practices and managing multiple priorities in a scalable environment.
As a Data Engineer at Prophecy, you will develop data engineering workflows using Apache Spark and Apache Airflow. You will be responsible for solving complex customer problems, educating users on best practices, and building reusable Spark packages to enhance data transformation processes.
The Data Engineer at ICF Next will collaborate with data scientists and stakeholders to ensure data availability and integrity. Key duties include monitoring data systems, optimizing database performance, translating business use cases to solution architecture, and implementing best practices for data management and governance.
The Data Engineer will collaborate with various teams to implement and manage data engineering solutions using GCP technologies, develop automation methods for data pipelines, and maintain data quality. The role also involves testing and evaluating competing solutions, providing deep technical expertise, and delivering scalable data platforms.
The Senior Data Engineer will focus on building and maintaining data platforms, developing efficient data pipelines, and architecting resilient distributed systems. Responsibilities include collaborating with teams to enhance user experience and ensuring data quality while supporting analytics and reporting needs.
The Data Engineer at Cornell University will develop and support data solutions for data analytics, data warehousing, and data lake ecosystems. Responsibilities include collaborating with customers, supporting data feeds and transformations, documentation, migrating ETL code, and participating in on-call support.
As a Data Engineer at Testlio, you will develop data models, create and maintain data pipelines, automate data integration processes, and implement data mart systems. You will work closely with the Business Operations team to enhance the organization's data accessibility and reporting capabilities.
The Data Engineer will design and implement data pipelines and analytics infrastructure, develop Python and SQL components, maintain cloud infrastructure, and create data models. They will collaborate with customers to enhance data exploration and improve technical practices while coordinating project objectives.
Featured Jobs
As a Senior Data Engineer, you will enhance data integration pipelines and maintain data quality within data lakes and warehouses. Collaborating with team members and stakeholders, you'll optimize data transformations and ensure the efficiency of systems. You'll also participate in code reviews and uphold coding standards while ensuring infrastructure security and data integrity.
As a Senior Data Engineer at Capital One, you'll work collaboratively within Agile teams to develop and support technical solutions. You will utilize programming languages and cloud-based services to solve complex problems, drive transformation, and mentor peers while maintaining high coding standards and performance.
As a Lead Data Engineer at Klaviyo, you will own the data automation framework, optimize infrastructure for analytics, coach engineers, and drive technical vision. You will address technical challenges and ensure the system supports business needs for over 50,000 customers.
As a Lead Data Engineer at Klaviyo, you will define the technical vision for materialized view frameworks, enhance data processing systems, mentor engineers, and architect scalable data pipelines. You'll be responsible for high-performance data systems that serve 50,000+ clients and ensure data quality and performance improvements.
The Senior Data Engineer for Business Intelligence at Klaviyo will develop and maintain the data infrastructure crucial for the organization’s analytics and reporting needs. Responsibilities include managing the data environment, creating data models for predictive insights, collaborating with various departments, and supporting data-driven decision-making.
As a Staff Data Engineer, you will manage GRAIL's data lifecycle, focusing on ETL pipeline development, data integrity, compliance with regulatory standards, and collaboration with cross-functional teams to support clinical and research programs.
As a Staff Data Engineer, you will design, develop, and deploy data engineering solutions across cloud platforms. You will lead initiatives to enhance cloud technologies and foster collaboration among cross-functional teams, ensuring effective integration of data engineering efforts while staying current with industry trends.
The Staff Data Engineer will design, develop, and implement data engineering solutions to enhance data analytics for the General Motors Loyalty and GM Card programs. This role involves building data assets, optimizing pipelines, and collaborating with cross-functional teams to ensure integration of data initiatives while promoting innovative cloud-first technologies.
As a Senior Data Engineer at Capital One, you will work in a collaborative Agile environment to design, develop, and support technical solutions using full-stack development tools. You will leverage big data technologies, collaborate with product managers, mentor team members, and ensure high quality code through rigorous testing, driving innovation in data warehousing and cloud services.
As a Senior Data Engineer, you will develop analytics-driven solutions for GM organizations, build analytical datasets, collaborate with Researchers and Data Scientists, automate data processes, and adopt cloud-first technologies. The role emphasizes the use of data engineering best practices while fostering a culture of continuous learning within the team.
As a Senior Data Engineer at Zocdoc, you will design and maintain scalable data systems, collaborate with cross-functional teams, and develop modern data architectures to enhance data workflows. Your role involves optimizing data pipelines, governance initiatives, and building tools for better data accessibility, directly impacting patient and provider experiences.
As a Lead Data Engineer at JPMorgan Chase within the Cyber and Tech Controls line of business, responsible for data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. Key responsibilities include generating data models, delivering data platform solutions, implementing database strategies, evaluating access control processes, and developing production code.
As a Senior Data Engineer at Capital One, you will design, develop, test, and support technical solutions while collaborating with Agile teams. Your role involves using languages like Java, Scala, and Python, working with both relational and NoSQL databases, and leveraging cloud services like Redshift and Snowflake to create robust data solutions for financial empowerment.
The Senior Data Engineer at Capital One will collaborate with Agile teams to design and implement technical solutions using full-stack development technologies. The role involves utilizing programming languages like Java, Scala, and Python, and working with cloud data warehousing services like Redshift and Snowflake. The engineer will also mentor others, perform code reviews, and engage in continuous learning of new technologies.
As a Lead Data Engineer at Capital One, you will design, develop, and implement technical solutions using a variety of data technologies. You will collaborate with Agile teams to solve complex business problems, mentor team members, and share your knowledge of emerging technology trends, while focusing on delivering robust cloud-based solutions.
The Senior Data Engineer will collaborate with Agile teams to design and implement technical solutions, work with machine learning and distributed microservices, utilize cloud-based data warehousing, and ensure code quality through reviews and testing. They will also mentor team members and stay updated with technology trends.
As a Senior Data Engineer at Capital One, you will design and enhance data pipelines and quality frameworks, collaborate with Agile teams, work on distributed computing, and implement technical solutions in a fast-paced environment. You'll leverage big data technologies and mentor fellow engineers to drive transformation within the company.
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