- about the company.Our client is a well-established organisation in Hong Kong known for its commitment to digital transformation and infrastructure excellence. They provide a stable yet innovative environment where technology is at the forefront of their business operations, offering long-term career growth and exposure to cutting-edge hybrid cloud solutions.about the job.Manage and maintain the Private Cloud infrastructure, including servers, storage, loadabout the company.Our client is a well-established organisation in Hong Kong known for its commitment to digital transformation and infrastructure excellence. They provide a stable yet innovative environment where technology is at the forefront of their business operations, offering long-term career growth and exposure to cutting-edge hybrid cloud solutions.about the job.Manage and maintain the Private Cloud infrastructure, including servers, storage, load
- about the company.Our client is a Biotechnology Organization in Hong Kong dedicated to leveraging advanced technology for scientific breakthroughs.. By leveraging cutting-edge technology and clinical research, they aim to foster innovation, improve patient outcomes, and establish a world-class infrastructure for genomic science that benefits the wider community.about the job.Administering and optimising Unix/Linux servers (Red Hat, Ubuntu), virtualisationabout the company.Our client is a Biotechnology Organization in Hong Kong dedicated to leveraging advanced technology for scientific breakthroughs.. By leveraging cutting-edge technology and clinical research, they aim to foster innovation, improve patient outcomes, and establish a world-class infrastructure for genomic science that benefits the wider community.about the job.Administering and optimising Unix/Linux servers (Red Hat, Ubuntu), virtualisation
- About the JobKey Responsibilities:Pipeline Engineering: Build end-to-end data pipelines including data collection, transformation, quality, and integration.Solution Design: Collaborate with business teams to identify data requirements and assemble large, complex datasets.Optimization: Design, implement, and fine-tune analytics solutions to meet technical performance metrics.Integrity & Security: Work with the Data Architect to maintain data model integrityAbout the JobKey Responsibilities:Pipeline Engineering: Build end-to-end data pipelines including data collection, transformation, quality, and integration.Solution Design: Collaborate with business teams to identify data requirements and assemble large, complex datasets.Optimization: Design, implement, and fine-tune analytics solutions to meet technical performance metrics.Integrity & Security: Work with the Data Architect to maintain data model integrity
