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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
- ReferenceBH-4249-1
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