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The Java Programmer designs and develops web application systems, integrates interfaces, and conducts system testing. The role involves translating business requirements into technical designs and maintaining project documentation.
Software Engineer in Hong Kong responsible for R&D of core projects, system design, and code implementation using Java, with focus on distributed systems, middleware, and high-concurrency optimization.
The Pipeline Robotics Software Engineer develops software for underground pipeline inspection robots, focusing on embedded-to-software integration and AI-assisted crack detection. The role involves working with Python, C/C++, and various computer vision frameworks to support real-time monitoring and data management.
The AI Software Engineer will develop and support software solutions for offline defense environments, focusing on AI technologies like RAG chatbots and generative media. The role requires 3-5 years of experience and familiarity with Python, JavaScript, and Docker.
Dojostack Limited is seeking a Full Stack Software Engineer to build production-grade applications using modern backend technologies and cloud infrastructure. The role involves API design, database integration, and collaborative development in a fast-paced environment.
The Senior Data Engineer will troubleshoot and enhance BI and data warehouse workflows while designing scalable ETL processes. The role involves collaborating with cross-functional teams to ensure high data quality and effective data modeling.
This role involves leading a data engineering team to design and optimize Spark on AWS EMR pipelines for batch and streaming data. The position requires hands-on technical leadership, MLOps support, and the ability to build service components using React and Node.js.
This role involves designing and building scalable data infrastructure and ETL pipelines to support analytics and GenAI/RAG applications for a business services client.
The Data Engineer will design and maintain end-to-end data pipelines, infrastructure, and RAG solutions to support AI and analytics initiatives. The role involves working with structured, unstructured, and vector data within a large-scale corporate environment.
This role focuses on L2 data operations, providing support for production data pipelines, ETL/ELT processes, and incident management. The position also involves data migration support, stakeholder communication, and maintaining data quality and governance standards using tools like Microsoft PowerBI.
The Data Engineer will develop machine learning models for water leakage detection and maintain data pipelines within an R&D team. The role involves working with Python, SQL, NoSQL, and Linux environments to integrate sensor data and troubleshoot quality issues.
The Data Engineer will design, develop, and maintain software applications while collaborating with regional technology teams. The role requires proficiency in Python, Apache Spark, and Unix.
The Data Engineer will design, maintain, and enhance data lakes, pipelines, and analytics infrastructure while collaborating with data science and product teams. The role requires end-to-end project contribution and strong English communication skills in a Hong Kong-based office.
Data Engineer responsible for end-to-end incident management, daily monitoring of data pipelines and ETL/ELT processes, and participating in data migration projects using SQL, cloud data technologies, and enterprise data platforms.
Data Engineer building and optimizing ETL pipelines, data models, and BI workflows using SQL, Power BI, and SSAS for a large technology and telecoms organization in Hong Kong.
Data Engineer responsible for designing, maintaining, and improving data lakes, pipelines, batch and real-time processing systems, and metadata infrastructure using Python, AWS services, and big data technologies.
Data/DevOps engineer supporting automated data pipelines and risk reporting using Python, SQL, and Tableau in Hong Kong.
Develop and maintain real-time, scalable data pipelines using SQL and big data tools, ensuring data quality across data lakes and warehouses for business analytics.
Build and maintain ETL/data pipelines, migrate legacy systems to a cloud-enabled data ecosystem, and support data quality and analytics for a finance & banking client using SQL and cloud platforms.
The AI & Data Engineer will modernize enterprise data platforms by managing large-scale data migrations and building robust data pipelines. The role involves collaborating with cross-functional teams to support analytics and reporting using cloud-enabled ecosystems.
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