Responsibilities

• Developing 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.\
• Utilize data visualization tools, particularly Qlik Sense, to present complex data insights to clients, enabling them to base their decisions on accurate and reliable information.
• Employ analytics tools, such as Alteryx, to extract valuable insights from extensive datasets and deliver actionable recommendations to clients.
• Ensure the quality, integrity, and security of data throughout the entire data lifecycle, applying robust database concepts and data modelling expertise.

Requirements
 

• A bachelor’s degree in computer science, Information Technology, Mathematics, Statistics, or related fields.
• At least three years of hands-on experience in data engineering, preferably within a consulting environment.
• Profound understanding of database concepts and data modelling principles.
• Strong proficiency in programming languages, especially Python and Spark
• Proficiency in analytics & query tools e.g. Alteryx.
• Familiar with statistical analysis tools.
• Extensive experience with data visualization tools such as Qlik Sense
• Experience with cloud platforms such as AWS or Azure and proficient using AWS Sagemaker
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team.
• Experience with software development methodologies and tools.
• Fluent in Cantonese and English