Support the data governance of data platform, including data requirement management, data ingestion management and authorization management
Implement data platform architecture including big data, NoSQL, steaming and AI applications for providing data services to other banking systems and business users.
Perform system analysis, design, development and maintenance for data platforms and applications
Design and deliver in-house self-service analytic solutions
Establish framework, development standard, enterprise data model and incorporate DEVOPS tools and methodology for data platforms.
Troubleshoot problem and propose recommendation to resolve issue, and collaborate with developers and/or external parties to resolve technical issues
Requirements
Degree holder in Computer Science, Information Technology or related disciplines.
At least 8 years of application development experience, preferably in enterprise data warehouse and big data / AI projects with sound project management experience
Proficient skills with data warehouse technologies, such as SQL, DB2, DataStage ETL , data reporting and visualization tool (e.g. Tableau ).
Knowledgeable in big data technologies including Hadoop, Spark, Hive, Kafka Streaming and NoSQL (such as MongoDB and Neo4J)
Having knowledge in the following is a PLUS: Java, python, K8s, docker, Mircoservices, Distributed computing concepts
Self-motivated, open mindsets, good problem solving and troubleshooting skills, good inter-personal and communication skills, team building and problem-solving skills.
Candidate with less relevant experience would be considered as Application Development Manager
Banking and Financial Services industry experience preferred
Proficiency in both Chinese and English, Mandarin in an advantage.
