Responsibilities:

• • Design and implement robust data analytics frameworks.
  • Upgrade existing data infrastructure for scalability and agility.
  • Ensure data integrity, security, and compliance with industry standards.
  • Architect scalable service platforms to enhance user experience.
  • Lead cloud solution integrations to improve service delivery and efficiency.
  • Collaborate with cross-functional teams to define and implement service APIs.
  • Align IT architecture with business goals for financial sustainability.
  • Identify and mitigate risks in IT infrastructure and data management.
  • Drive innovation by exploring emerging technologies and industry trends.

Requirements:

• • Bachelor’s degree in Computer Science, Data Science, IT, Electronic Engineering, or related field.
  • 3 to 5 years of experience in data warehouse, data lake, or big data solutions.
  • Hands-on experience designing enterprise data platforms with big data, Gen AI, Agentic AI, and cloud (Azure/AWS preferred).
  • Strong knowledge of project management methodologies (Scrum/Jira).
  • Familiarity with big data technologies and open-source packages (Kafka, Confluence, Hadoop, Spark).
  • Experience in understanding and converting RPA requirements.
  • Proficiency in computer software (Kafka, Confluence, Hadoop, Spark) and operating systems (PaaS, VM, Unix, Linux).
  • Programming skills in Python and Java.
  • Fluent in both spoken and written English and Chinese.