Based in the Group Customer Analytics & Decisioning team, you will be responsible for developing & optimizing Enterprise data pipelines & architecture. These will support analytical needs of various user groups like Consumer banking, Commercial banking, Corporate Banking, etc... across different countries & entities of OCBC.
Create and maintain the optimal data pipeline architecture to enable ingestion from a wide variety of structured and unstructured data sources.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery and cleansing/transformation.
Support development and deployment of applications utilising the data pipelines to provide actionable insights for various use cases across various user divisions
Minimum 10-15 years of working experience in data management, ETL and analysis functions
Minimum 5-7 years of working experience in data model enhancement & source to target mapping
Minimum 3-5 experience in Hadoop Ecosystem using HIVE, Impala, Spark and/or Streaming data systems, Flink, Ozone, Kudu, Solr
Experience/knowledge in data virtualization tools like Denodo, Starbust, etc...
Experience in creating data pipelines from various data platforms
Knowledge/exposure in Microservices & hot layer implementations
Knowledge in cloud technology & architecture
Strong hands-on skills in SQL & PL/SQL
Experience in end-to-end automation - building procedures, ETL and automated job scheduling - using the ETL tools likes of DataStage, Talend, Kafka, Airflow, Pentaho