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  • Design, develop, and support ETL processes using IICS (Informatica Intelligent Cloud Services), ensuring robust and scalable data integration solutions.
  • Work closely with stakeholders to ensure compliance with security requirements, including holding or actively progressing towards SC clearance.
  • Develop and optimise complex SQL queries and contribute to data engineering activities within Azure-based environments.
  • Build and manage data solutions using Microsoft Fabric components such as Data Factory, Synapse, and OneLake.
  • Apply domain knowledge in financial services / FinTech environments to deliver compliant and business-aligned data solutions.
  • Collaborate using version control and deployment tools such as Azure DevOps and/or GitHub to maintain code quality and release processes.
  • Implement and maintain testing frameworks for data pipelines, including unit testing and QA practices to ensure data accuracy and reliability.
  • Work with broader Azure data services, including Azure SQL, Managed Instances, and Data Lake, to support end-to-end data platform requirements.

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