Job Description

• Based in the Group Data Office - Data Engineering team, you will be responsible for developing and enhancing data pipelines and architecture
• Create and maintain the optimal data pipeline to enable ingestion from a wide variety of structured and unstructured data sources via Talend
• Working with business users to define and understand business requirements to develop and implement solutions
• Support development and deployment of applications utilising the data pipelines to provide actionable insights
• Involve in UAT execution with a focus on strategic testing processes and procedures to ensure that business standards and specifications are met
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery and cleansing/transformation
• Support various business functions by collaborating with multiple stakeholders - business, IT, and vendors independently

• Minimum 4 to 6 years of working experience in Data Engineering, Big Data solutions, and analytics functions
• Solid background in traditional structured database environments such as Teradata / Oracle, SQL & PL/SQL
• Knowledge on Hadoop ecosystem components such as HIVE, Impala, HDFS, Spark, Scala, HBase
• Fluent in structured and unstructured data, its management, and modern data transformation methodologies
• Hands-on experience working on real-time data and streaming applications using Kafka or other similar tools
• Experience in automation process - building procedures, ETL and automated job scheduling using data integration tool such as Talend
• Knowledge on data warehouse and FSLDM concepts
• Understanding of banking with exposure to consumer business functions is preferred
• Energetic personality with an innovative, self-starting spirit. Someone that likes to ask "why?"

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