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Design and maintain ETL/ELT data pipelines using Python and PySpark, develop lakehouse architectures, and deploy containerized solutions on Kubernetes to enable data-driven decision-making.
Lead design and development of overseas data warehouse and platform for mobile, IoT, and app data; build scalable pipelines using Spark, Flink, and apply ML/NLP techniques to extract insights from large datasets.
Manage database and data lake platforms, focusing on high availability, backups, disaster recovery, and performance tuning.
Design and implement data pipelines on Cloud platforms, optimize SQL queries, and collaborate with analysts and scientists to deliver reliable data solutions. Build scalable pipelines for large data volumes and develop high-performance architectures.
Design, implement, and maintain scalable batch and real-time data pipelines, ETL processes, and data warehousing solutions using Python, SQL, and big data technologies like Spark and Hadoop for defense and government sectors.
Build scalable data platforms and lakehouse architectures using Python and PySpark. Design ETL/ELT pipelines and ensure data governance for enterprise-grade analytics.
Develop core features and real-time dashboards for a trading platform using the MERN stack (React, Node.js, Express, MongoDB), focusing on high code quality and performance.
A Lecturer/Senior Lecturer teaching Cloud Engineering, DevOps, AI, and IoT at NYP School of Engineering in Singapore, involving curriculum development and student project supervision.
Eames Consulting partners with a top-tier global financial services group to appoint a senior Azure Cloud Architect for the APAC region. The role blends architectural governance with hands-on delivery, driving…
We are partnering with a top-tier global financial services group to secure a strategic, technical leader for their regional hub. This mandate assumes full ownership over the design, execution, and continuous…
Ensure high availability and reliability for large-scale consumer platforms by managing incidents, capacity planning, and automation using Python, Go, and cloud infrastructure.
Design, build, and maintain robust C#.NET backend services and databases while integrating AI-driven features. The role involves developing gRPC APIs, writing tests, and collaborating with cross-functional teams on training and simulation solutions.
Own backend services, async processing, and data pipelines for an AI platform serving legal firms. Contribute to architecture design and ensure scalable, secure multi-tenant access for enterprise-scale AI systems.
Support a Singapore-based Quantexa demo environment on Azure by deploying AKS, configuring networking and storage, and performing smoke tests.
The role involves setting up and supporting a Quantexa demo/sandbox environment on Azure, requiring Kubernetes administration, infrastructure deployment, and Azure service configuration skills.
Develop and maintain automated test frameworks using Python, Java, or Swift for customer support apps. Collaborate with cross-functional teams to execute functional, performance, and stability testing and drive quality via CI/CD integration.
Develop and maintain C# and Python software modules for industrial automation and robotics, including Unity-based prototyping and 3D data processing.
Plan and execute test programs, prepare setups, and monitor performance using laboratory equipment. The role requires ensuring data integrity and compliance with ASTM/ISO guidelines to deliver accurate technical reports.
Facade Today in Singapore is seeking a dedicated Data Centre Technician to maintain and monitor data centre systems and support ongoing operations. You will perform daily walkthroughs, handle faults, assist shift…
Parameta Solutions, the Data & Analytics division of TP ICAP Group, is seeking a Market Data Engineer to manage and optimize real-time market data systems. You will work with exchanges and vendors to ensure data…
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