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(Senior) Analyst Programmer (AWS, GCP cloud development, Python)

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Onsite

(Senior) Analyst Programmer (AWS, GCP cloud development, Python)

JustOneGalaxy Recruitment Limited

(Senior) Analyst Programmer (AWS, GCP cloud development, Python)

Skills

Google Cloud PlatformSQL QueriesMongoDBPythonTesting & QAPostgreSQLKafkaAWSOracleApache Airflow

1 month ago

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Important information


Contract type:

Permanent

Salary:

HK$420,000 – HK$576,000 / year

Location:

Hong Kong Island, Hong Kong

Work mode:

Onsite

Published on:

21 September 2026

What they need


(Senior) Analyst Programmer (AWS, GCP Cloud development, serverless and managed data services, Python)

Responsibilities

  • Architecture & Design: Analyze business requirements to design in-house software, cloud-native applications (serverless APIs, event-driven pipelines, containerized jobs), and relational database structures.
  • End-to-End System Development: Handle full-lifecycle development, including coding, integration, testing, deployment, system updates, and ongoing support.
  • Quality Assurance & Documentation: Draft technical specs and test plans, lead peer code reviews, enforce coding standards, and maintain system documentation.
  • Deployment & User Support: Guide systems through User Acceptance Testing (UAT), cutover, parallel execution, and post-launch stabilization.

Candidate Requirements

  • Education & Experience: Bachelor䏭 degree in CS, IT, Data Engineering, or a related field, backed by 4+ years in IT (including 2+ years focused on cloud development).

  • Technical Skills:

    • Advanced Python programming and strong SQL skills, including query optimization.
    • Hands-on experience with cloud platforms (AWS/GCP), serverless architectures, and managed data services.
    • Proficiency with relational and NoSQL databases (e.g., PostgreSQL, Oracle, MongoDB).
    • Practical expertise in RESTful API development, data modeling, data integration (ETL/ELT), and streaming pipelines.
  • Methodologies & Tools: Familiarity with Git, CI/CD automation, and Agile methodologies.

  • Nice-to-Haves: Experience with MDM/Customer 360, Kafka/CDC, Apache Airflow, Spark, Infrastructure as Code (IaC), entity resolution, or data quality management.

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