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 5-7 years of working experience in data management, ETL and analysis functions
Minimum 2-4 years of working experience in data model enhancement & source to target mapping
Minimum 1-2 experience in Hadoop Ecosystem using HIVE, Impala and/or Streaming data systems
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
Solid background in traditional structured database environments such as Teradata / Oracle
Knowledge on data warehouse and FSLDM concepts
Familiar with banking systems & products
Knowledge about analytical software tools such as Python / R / SAS / QlikView / Tableau / Spark
Energetic personality with an innovative, self-starting spirit. Someone that likes to ask "why?"