Domo BI

We are looking for a talented Data Engineer with expertise in SAS and Google Cloud Platform (GCP) to join our team. The ideal candidate will have a strong background in the Credit Risk domain and will be responsible for designing, building, and optimising data pipelines and architectures to support credit risk analysis and reporting. Key Responsibilities : Data Pipeline Development : Design, develop, and maintain data pipelines using SAS and GCP to ensure efficient data processing and integration. Data Architecture : Build and optimise data architectures to support credit risk analysis and reporting. Data Management : Manage and manipulate large datasets to support credit risk modelling and analysis. Collaboration : Work closely with data scientists, analysts, and other stakeholders to gather requirements and provide data solutions. Performance Optimisation : Optimise data processing performance to ensure timely and accurate reporting. Compliance : Ensure all data processes comply with regulatory standards and guidelines. Documentation : Maintain comprehensive documentation of data processes and methodologies. Required Skills and Qualifications : Technical Skills : Proficiency in SAS and Google Cloud Platform (GCP) is essential. Domain Knowledge : Strong understanding of the Credit Risk domain. Data Engineering : Experience in designing and building data pipelines and architectures. Analytical Skills : Excellent analytical and problem-solving skills with the ability to perform complex data analysis. Attention to Detail : High level of accuracy and attention to detail in data processing and analysis. Communication Skills : Strong verbal and written communication skills to effectively convey findings and recommendations. Experience : Previous experience in data engineering or a related field is preferred. Education : Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Advanced degrees or certifications in Data Engineering or related areas are a plus.