Develop new applications using existing data sets to create new products or improve existing services.

Maintaining existing applications by updating existing code or adding new features to meet new requirements.

Collaborate closely with cross-functional teams, comprising data analysts, data scientists, and IT professionals, to recognize business needs and translate them into practical data engineering solutions.

Provide solutions for total client success

Ensure the quality, integrity, and security of data throughout the entire data lifecycle, applying robust database concepts and data modeling expertise.

Utilize multiple data & AI technologies to achieve various solution objectives, including data integration, insight visualization, data platform & pipeline build, scientist model integration, GenAI initiative

• Degree in a relevant subject or related field, e.g. analytics, mathematics, computer / data science, operations research

• At least 1 year of relevant work experience, preferably within a consulting environment / with Data or AI technology experience

• Experienced in one or multiple of the followings:

  A. Programming languages: Python / Spark / Express / React / Node.js

  B. AWS platform, Azure will also be considered

  C. Database / SQL programming

  D. Informatica / IDMC experience, other ETL/ELT platform with large scale project experience will also be considered

  E. Azure ADF & Databricks

  F. Visualization: Tableau / Qlik sense, Power BI will also be considered

  G. Streaming: Kafka / Spark

  H. Universal AI / ML platform product / ML engineering

  I. Chatbot on AWS/Azure platform, prompt engineering, VectorDB

  • Familiar with software development methodologies and tools

  • Fluent in Cantonese and English