Lead Data Warehouse Developer

2 months ago

Hong Kong, Central and Western District, Hong Kong SAR China Classy Wheeler Limited Full time

Classy Wheeler Limited is a regional IT services and solutions provider.

About Us

We deliver comprehensive IT solutions that meet the needs of our clients.

Salary Range: $120,000 - $180,000 per year.

Job Description

We are seeking an experienced Lead Data Warehouse Developer to join our team.

  • Plan and execute project activities under the responsible areas or team.
  • Interact effectively with internal & external customers.
  • Conduct detailed user requirements analysis and design.
  • Perform application system analysis, design and enhancement.
  • Ensure all agreed products and deliverables meet schedule and the required level of quality.
  • Manage the programming resources to ensure the compliance of defined development standard.
  • Analyze issues raised and devise solution for the issues.
  • Facilitate communication and manage technical issues and personnel.
  • Update system documentation & deliver the agreed products or project deliverables.
  • Monitor and keep track of tasks assigned to team members.
Required Skills and Qualifications

To be successful in this role, you will need to have:

  • University degree in Computer Science or related disciplines.
  • At least 7 years of IT experience.
  • At least 3 years of system analysis and design experience in Data Warehouse, J2EE applications.
  • Strong in J2EE, Java, MS SQL, PL/SQL.
  • Strong sense of responsibility and eager to learn.
  • Development/support experience in JBoss platform is preferable.
  • Strong analytical and interpersonal communication skills, and highly presentable.
  • With Team Leading experience would be an advantage.
  • Familiar with Government IT project(s) would be an advantage.
  • Knowledge and experience in either one of the following data analysis techniques would be an advantage: Data mining, Text mining, Social Network Analysis (SNA).
  • Strong in using statistical software (SAS, Excel, etc.) would be an advantage.
  • Experience in data conversion and migration would be an advantage.

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