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Cloud Data Engineer

  • Location: Hong Kong
  • Salary: HK$744000 - HK$800000 per annum per annum
  • Job Type:Permanent

Posted about 1 year ago

  • Sector: Technology
  • Contact: Paris Herard
  • Start Date: September 2021
  • Expiry Date: 27 February 2022
  • Job Ref: JN -042021-458898

Currently hiring a Cloud Data Engineer for one of my client a Global Bank in the middle of a major platform transformation project

Key responsibilities

  • Design and implement data pipeline in cloud environment.
  • Understand data schema of available data sources
  • Utilize technologies such as workflow engine to automate data transfer from sources to destination
  • Design suitable data schema for the data warehouse to enable efficient query and retrieval of data for analytic purposes
  • Automate & implement CI/CD delivery pipeline

Desired qualifications

  • Hands-on experience in Google Cloud Platform (GCP) services, such as: BigQuery, Dataflow, Cloud Functions or

  • 5+ years experience as a Data engineer or Cloud engineer
  • AWS services, such as: Athena, LambdaExperience in handling sizable data warehouse

  • Experience in implementing ETL / data streaming for data analytic

  • Fluent in English. Any other Asian language is a plus (Cantonese, Mandarin, Korean, Japanese) but not mandatory

Nice to have:

  • Big data platform technologies such as Hadoop, Hive, Spark, Cassandra, HBase
  • Infrastructure as code experience, such as CloudFormation, Terraform
  • Experience in utilizing workflow engines such as: Apache Airflow, Google Cloud Composer
  • DevOps tooling, such as Ansible and Jenkins

Location: Hong Kong - WFH: allowed and encouraged - Permanent role

Start Date: September 2021 but open to longer notice period

Attractive base salary: depending on seniority up to HKD 70k/ month * 12 months

Bonus: 15-20% + 20 annual leaves

Interested in this description? Would you like to know more?

The next steps are to apply with an updated CV to or a first call through my direct line +852 6106 7562 for a confidential discussion.