Responsibilities:

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

Requirements:

• • Bachelor Degree in Computer Science, Data Science, IT, Electronic Engineering or related disciplines
  • 3 to 5 years of experience in implementing data warehouse/data lake/ big data solution
  • Hands-on experience to design enterprise data platforms and solutions incorporating big data, Gen AI / Agentic AI / RAG and Cloud (Microsoft Azure/ AWS is a plus)
  • Strong knowledge of project management methodologies (Scrum / Jira)
  • Experience in Big data technologies and related open-source packages such as MS CI, Kafka, Confluence, Hadoop, Spark, etc.
  • Experience in understanding and converting RPA requirements
  • Computer Software knowledge in Kafka, Confluence, Hadoop, Spark and etc, and Operating System knowledge in PaaS, VM, Unix, Linux
  • Programming Language knowledge in Python, Java
  • Good command of both spoken and written English and Mandarin