Responsibilities:

• 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.

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