Canopy
fifty-five | the data company (HK)

fifty-five (HK) - Cloud Data Engineer

Mid Level
Hong Kong
Cloud Data Engineer
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About Us

fifty-five helps brands leverage their data to increase marketing, advertising, and sales effectiveness. We help businesses collect, enrich, and activate their data to find new customers, foster engagement, increase conversion, and drive sales across online and offline channels. We work with our clients to achieve these goals using a combination of consulting, software, and managed services. Co-founded by former Google executives, fifty-five has offices in Paris, London, Hong Kong, New York, Geneva, Singapore, Shanghai, Shenzhen, and Taipei.

Who we're looking for

As part of the company’s further expansion into cloud services, fifty-five is currently hiring for a regional position in Hong Kong. .

A successful Cloud Data Engineer must be understanding of our customer’s needs, well versed in questions about cloud environments and building in the cloud, and familiarity with cloud components. Candidates will also be aware of the importance of quality deliverables, respectful of deadlines and always able to articulate the business value of projects as well as technical considerations in clear terms.

What you will be doing

Pre-sales and Partner Management

  • Develop collaboration with our technology Partners for pre-sales and execution of Data & Analytics projects.
  • Contribute to RFPs / opportunities for new projects for cloud related services in collaboration with our Consulting and Expertise & Innovation teams.
  • Forward thinking for the definition and go-to-market of new services, regular knowledge-sharing with the other teams in APAC and the global Engineering team members in other locations

Management and Execution of the Data & Analytics solutions with cloud components (GCP)

  • Understand Cloud migration strategy (on premises to cloud), lead and coordinate its processes and implementation from the business objectives to project delivery
  • Define, develop, maintain, document, and enrich the pipelines and data repositories in the cloud platform (GCP CloudBuild/CloudCode and CI/CD pipelines)
  • End-to-end the delivery of Digital Analytics projects (e.g. acquisition funnel, etc.) that may involve a variety of expertise (data architecture, data engineering, data science, etc.)
  • Identify and integrate on an ongoing basis new data sources into the centralized data platform
  • Prepare the architecture / demos for modeling work and work with the data scientists to put to production the models on the cloud platform
  • Review and propose optimization for the cost-efficiency of the platform (compute, network, CDN and storage)
Who you are
  • Cantonese (fluent or native), English (fluent)
  • Bachelor’s degree (business, science, engineering) - Master’s a plus
  • 4 to 6 years’ experience, design, architecture, infrastructure and deployment.
  • Demonstrable expertise on building and deploying in a cloud ecosystem - GCP (AWS and Azure would be a plus)
  • Experience with big data concepts including data lake architecture (GCP BQ), ETL processes, etc.
  • Application containerization (Docker, Kubernetes, etc.)
  • Version control and DevOps tools and best practices ( ex. GCP CloudCode, CI/CD concept, Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc.)
  • Programming skills (Python and SQL at least, others are appreciated e.g. Java, Spark, Scala, etc.)
  • Expertise with marketing platforms (Google Analytics, Adobe Analytics, GMP stack) a plus
  • Knowledge on cloud data pipelines (Kafka / Event hub a plus, others are appreciated)
  • Website content and tracking a plus (JavaScript, HTML, etc.)
  • Advanced certification in a Cloud solution ( GCP, Azure, AWS, - ex. GCP Professional level certifications) would be a plus
What we offer
  • Competitive Salary
  • 20 days paid annual leave
  • Weekly team lunches
  • Internal training and certification pathways including cloud, data science and advanced analytics

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