Data Platform Engineer, Financial Institution

Our client is a leading Financial Institution. Due to business needs, they are seeking the Data Platform Engineer.

Responsibilities:

Design, build, and maintain Data Platform using technologies such as Apache Airflow, Apache Spark, Kubernetes (K8s), and Docker

Support scalable data architectures, including data lakes, enterprise data marketplaces, and virtualisation solutions

Assist in building, automating, and optimizing end-to-end data processing pipelines (ETL/ELT)

Conduct proof-of-concept (PoC) testing for emerging platform tools and alternative data technologies.

Requirements:

University degree in Computer Science or relevant discipline

At least 3 years of relevant experience in data platform engineering

Proficiency in Apache Airflow, Apache Spark, Kubernetes (K8s), and Docker

Exposure in Financial Services sector will be an advantage

Experience operating within hybrid-cloud or enterprise data environments

Excellent communication and interpersonal skills

Fluent in English and Chinese

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Your application will include the following questions:

Which of the following statements best describes your right to work in Hong Kong? What's your expected monthly basic salary? Do you have experience using Apache Airflow? Do you have experience using Apache Spark? Do you have experience using Kubernetes? Do you have experience using Docker Software?

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