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Based in the Group Customer Analytics & Decisioning team, you will be responsible for developing & optimizing Treasury related data pipelines & architecture. These will support analytical needs around topics such as sales productivity and revenue process.
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.
Minimum 7 years of working experience in data management, ETL and analysis functions
Understanding of banking with strong exposure to Treasury business functions
Leverage the subject matter experts across technology and business in delivery of structured and well-thought through solutions
Solid background in traditional structured database environments such as Teradata / Oracle, SQL & PL/SQL.
Knowledge on data warehouse and FSLDM concepts
Exposure to basic Hadoop Ecosystem components such as HIVE / Sqoop / Oozie
Experience in end to end automation - building procedures, ETL and automated job scheduling - using the likes of DataStage, Talend, Kafka, Airflow, Pentaho
Ideally some knowledge of 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?"