Data Engineer -- Top tier Commercial Brand in Hong Kong

Posted 22 February 2023
Salary Competitive Salary Package
LocationHong Kong
Job type Permanent
Discipline Data Analytics/Data Engineering
Contact NamePauline Peng

Job description

Job Duty
  • Evaluate source data readiness, data lineage and landscape of data consumption
  • Gather business requirements and perform gap analysis to check the compatibility of the existing system infrastructure with the new business requirements
  • Facilitate requirement discussion among stakeholders and seek for optimal solution design
  • Translate business requirements into data processing demands and data logic for implementation
  • Lead ongoing review of data usage and identification of new data-driven use cases
  • Gather critical information from meetings with various stakeholders and produce useful documents
  • Work with business on subsequent change management, access controls and usage monitoring
  • Identify market demands and recommend business opportunities, and support low-level design
  • Conduct ETL workflow development for data management purposes and provide application management and support
  • Work with IT counterparts for system integration, conduct business requirement analysis, system analysis and design
  • Liaise with business users to collect details user requirements
  • University graduate in Information Technology, Computer Science, Business Administration or related disciplines
  • 2 to 4 years of experience in data analytics related development work
  • Knowledge of Hadoop, relational database and NoSQL database.(e.g. Cloudera, MapR, Teradata, Oracle, Hbase, Redis, MongoDB)
  • Knowledge in Data Lake, Data Warehouse and Data mart is a plus
  • Knowledge in one of ETL tools (e.g. Informatica, Datastage, Pentaho). Informatica is a plus
  • Proficient in Java8, Windows, Linux/Unix shell script, Oracle
  • Programming Languages: SQL, PL/SQL, Javascript, Shell Script, CSS
  • Version control and CI / CD tools (e.g. git, GitHub, GitLab, Jenkins, Ansible). GitLab and Jenkins are plus
  • Scheduling tools (e.g. Control-M, Dollar-U). Control-M is a plus
  • Experience in delivering data-driven applications, system migration or data platform implementation
  • In-depth knowledge in BI reporting/ data management/ data analytics/ data governance
  • Proficient in consolidating data lineage and data definition
  • Good at meeting facilitation with excellent interpersonal skills
  • Highly prefer experience of being an agile practitioner either as a product owner or as a scrum team member, with strong capability in structuring of requirements in the form of epics/ user stories
  • Good command of spoken and written English and Chinese