Job opening - Analyst Programmer (Data Management) in Hong Kong | Randstad

summary

hong kong
HK$38,000 - HK$45,000 per month
contract
full-time

job category
information technology

job details

about the company. ...

Established Medical Institute

about the job.

Collaborate on the design and documentation of technical architecture, including data schemas, workflow diagrams, and system APIs.
Detect and resolve latency issues or inefficiencies within the data storage and access pipelines
Execute strategies to scale infrastructure, ensuring it keeps pace with the exponential accumulation of genomic data.
Comprehensive testing (Unit, SIT, UAT, Load, Regression) and maintain documentation across the full SDLC to verify functional and operational compliance.

skills & experiences required.

Bachelor’s degree in Computer Science or a similar discipline, with a minimum of 4 years of applicable industry experience
Solid command of data warehousing concepts, schema design, and ETL workflows
Hands-on experience with diverse storage solutions, covering object storage (e.g., S3), parallel file systems, and databases (e.g., Clickhouse, PostgreSQL, MySQL, AWS RDS)
Proficiency in cloud data ecosystems, including the implementation of data security protocols and identity access management
Competence in Linux administration, encompassing scripting (Shell), resource monitoring, and OS tuning
Understanding of container technologies (Docker) and orchestration via Kubernetes
Familiarity with DevOps practices and Continuous Integration/Continuous Deployment (CI/CD) pipelines.
Fluent coding skills in either Java or Python
Excellent communication skills in English and Cantonese; Mandarin fluency is a plus.

If you're interested in this exciting opportunity please don’t delay and click 'APPLY NOW' or for more information, reach out to Sophie Zhao on sophie.zhao@randstad.com.hk

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about the company.

Established Medical Institute

about the job.

Collaborate on the design and documentation of technical architecture, including data schemas, workflow diagrams, and system APIs.
Detect and resolve latency issues or inefficiencies within the data storage and access pipelines
Execute strategies to scale infrastructure, ensuring it keeps pace with the exponential accumulation of genomic data.
Comprehensive testing (Unit, SIT, UAT, Load, Regression) and maintain documentation across the full SDLC to verify functional and operational compliance.

skills & experiences required.

Bachelor’s degree in Computer Science or a similar discipline, with a minimum of 4 years of applicable industry experience
Solid command of data warehousing concepts, schema design, and ETL workflows
Hands-on experience with diverse storage solutions, covering object storage (e.g., S3), parallel file systems, and databases (e.g., Clickhouse, PostgreSQL, MySQL, AWS RDS)
Proficiency in cloud data ecosystems, including the implementation of data security protocols and identity access management
Competence in Linux administration, encompassing scripting (Shell), resource monitoring, and OS tuning
Understanding of container technologies (Docker) and orchestration via Kubernetes
Familiarity with DevOps practices and Continuous Integration/Continuous Deployment (CI/CD) pipelines.
Fluent coding skills in either Java or Python
Excellent communication skills in English and Cantonese; Mandarin fluency is a plus.

...

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skills
no additional skills required
qualifications
no additional qualifications required
education
Bachelor Degree

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