We are currently seeking a skilled Data Engineer with expertise in SAS and Google Cloud Platform to take on the role of designing, building, and optimising data pipelines and architectures.
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 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.