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Data-focused cloud Analyst Programmer/ Data Engineer (AWS/GCP)

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Onsite

Data-focused cloud Analyst Programmer/ Data Engineer (AWS/GCP)

Newrecs Consultancy Limited

Data-focused cloud Analyst Programmer/ Data Engineer (AWS/GCP)

Skills

Google Cloud PlatformSQL QueriesMongoDBData EngineeringPythonPostgreSQLKafkaGitAWSOracleApache Airflow

1 month ago

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Important information


Contract type:

Permanent

Salary:

HK$360,000 – HK$540,000 / year

Work mode:

Onsite

Published on:

22 September 2026

What they need


Our client is now looking for talents to join their team: It is a hybrid Analyst‑Programmer role, Focus on Data Engineer duties, NOT a pure backend application developer.

Job duties:

●      Conduct user requirement analysis, design for in-house development project.

●      Undertake system development including programming, testing, implementation and related system maintenance, enhancements, and support tasks

●      Design and develop cloud-native application components— serverless APIs, event-driven data pipelines, and containerized batch jobs

●      Design and implement relational data models, database objects and data access logi

●      Prepare technical specifications, unit and integration test plans, and system documentation; participate in peer code reviews and enforce coding standards.

●      Support user acceptance testing, production cutover, parallel run and post-implementation stabilization.

Requirements:

●      Degree in Computer Science, Information Technology, Data Engineering or equivalent

●      Minimum 4 years of IT experience with at least 2 years in cloud development.

●      Solid experience in cloud platform e.g. AWS, GCP — hands-on exposure to serverless and managed data service

●      Strong programming skills in Python.

●      Experienced in SQL / NoSQL databases (e.g. Oracle, PostgreSQL, MongoDB), with strong SQL writing and query performance tuning ability.

●      Experienced in data modelling / Spark framework / API implementation (RESTful).

●      Practical experience in data integration, ETL / ELT, or streaming data pipelines.

●      Familiar with version control (Git), CI/CD pipelines and agile delivery practices.

●      Hands-on experience with MDM/Customer 360, entity resolution, data quality management, Kafka/CDC, infrastructure as code (IaC), and Apache Airflow will be an added advantage. (not a must to have)

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