Canopy
Zuhlke Engineering (HK)

Zuhlke Engineering (HK) - Senior Data Engineer

Mid Level
Hong Kong
Senior Data Engineer
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About Us

Zühlke is a global innovation service provider. We envisage  ideas and create new business models for our clients by developing services and products based on new technologies – from the initial vision through development to deployment, production and operation.

Who we're looking for

We are looking for a dedicated individual to join our team as a Senior Data Engineer.

As a senior data engineer, you will be an important member of our interdisciplinary project teams.

What you will be doing
  • Working closely with clients to analyse, design, develop and launch data-driven solutions and platforms that create and leverage business insights from distributed data sources.
  • ou will use your analytical and innovative mindset to challenge conventional thinking.
  • Zuhlke's values of continuous development and knowledge sharing mean that you'll be working with the latest methods and tools to stay up to date with the latest trends.
Who you are
  • You have a technical related degree and/or equivalent professional qualification.
  • You have at least 5 years of experience in data engineering, leaving you with proven software development skills and a firm foundation in modern software engineering methods like version control, TDD and CI/CD.
  • You have excellent programming skills in Python and SQL.
  • You have proven experience in at least one cloud platform like Cloudera, AWS, and GCP.
  • You have solid know-how regarding data modelling, schemas, and API development, including REST or GraphQL.
  • You have thorough hands-on skills of data engineering tools and frameworks such as Hadoop, Spark, Kafka, Redshift, ELK, as well as relational and NoSQL databases. You can provide advice on tool selection.
  • You have practical knowledge of container technologies such as Openshift, Docker and Kubernetes.
  • You have practical knowledge of handling varied types of data (text, tabular graph, time-series, geospatial, image etc.) and are familiar with concepts for storing and processing large and/or heterogeneous data volumes.
  • You are familiar with business intelligence, data analytics and data visualisation frameworks.
  • You have some experience with state-of-the-art data architectures, for example microservices, data lakes and data marts, and managing interdependencies between cloud and on-premise applications.
  • You have professional experience working in an agile development environment, preferably Scrum.
  • You have strong communication skills and like making decisions.
  • You value high quality technical solutions and you want to improve your skills every day.
What we offer
  • Competitive salary and the security of a long-running, international success story.
  • Become a part of company that demonstrates a true commitment to work-life balance.
  • A clearly defined career growth plan with personal goals and achievement-based career prospects.

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