Responsible for Data Engineering of Data Lake, Data Warehouse and Data Mart in Banking Cloud Platform.
Job Highlight:
- Banking industry
- Data Management in Google Cloud or AWS Platform
- Proficient in Python, Spark, Airflow, ETL tools
Requirements:
University graduate in Computer Science, Information System, Statistics, Mathematics, or related disciplines or equivalent; OR
Preferable over 8 years' experience in system development covering the following:
- Solid hands-on experience in Data Management and Analytics
- Proficient in Python, Spark, Airflow, ETL tools (e.g. DBT, Data Fusion, IBM DataStage, Informatica, etc.) appropriate for large scale data processing, SQL development, OR
- Experience in below will be desirable:
- Experience in Big data, Cloud technologies and DaaS is an advantage
- Good knowledge in RDBMS, NoSQL is a plus
- Knowledge of Java, Terraform is a plus
- Knowledge of maintenance of Data Visualization and Data Governance tools (e.g. Tableau, Collibra) is a plus
- Interface with Machine Learning System for Digital Marketing integration
- Strong leadership, embracing changes, fast learners with ability to work in a collaborative environment
- Effective communication is a must to work with Data Scientists and Business Users
- Strong oral and written presentation in English and Chinese. Mandarin is a plus
- Experience in conducting Business and System Analysis with strong business acumen
- Working knowledge in financial sector is an advantage
- Good communication and interpersonal skills
- Candidates with less qualification and experience will be considered as Data Engineer/Data Developer
Please note that only shortlisted candidates will be notified. All information gathered will be treated in strict confidentiality and solely used for recruitment purposes.
