Data Engineer

As a Data Engineer, you'll develop and manage cloud-based data systems, ensuring performance and security. You'll support analytics by preparing datasets and troubleshooting issues. Collaboration is key, working with developers, IT, and stakeholders, and communicating complex data concepts to non-technical audiences. Continuous learning through shadowing senior engineers and participating in code reviews is encouraged. No maritime experience needed, but curiosity is essential.

Selby Jennings - Hong Kong - Full time

Salary: Negotiable

  • 3+ years' experience in a Data Engineering role using SQL, PySpark and AirFlow
  • Strong understanding in Data Lake and Data Warehouse design best practices and principles
  • Practical hands-on experience in cloud-based data services for ETL/ELT covering AWS EC2, S3 Storage and EMR
  • Ability to manage and enhance infrastructure related to environments covering Spark, Hive, Presto
  • Experience with databases such as Postgres, MySQL, Oracle
  • Strong work ethic and ability to work independently on agreed goals
  • Clear communication skills in English - both in speaking and writing

DESIRABLE:

  • Deployment experience and management of MLOps framework, such as AWS SageMaker AI, ECR
  • Experience in other cloud platform and hybrid cloud infrastructure, e.g. GCP, Azure
  • Experience in the maritime industry

Competencies

  • Analysis & Problem Solving: Uses critical thinking to address problems. Able to perform root cause analysis on complex problems to identify underlying trends and put forward well-thought-out solutions to address the causes.
  • Listening & Communication: Focuses on the individual they are communicating with. Writes and expresses thoughts clearly adjusting as necessary to the audience. Asks questions to clarify.
  • Collaboration, Inclusion & Teamwork: A good team player that is personable, friendly, polite and takes the time to know people. Collaborates with onshore and offshore colleagues well.
  • Customer Focus: Understands the needs of the customer clarifying requirements and expectations. Adapts as necessary to changing requirements and is responsive, helpful with all requests. Sets high quality for service delivery.
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