SAS Data Engineer (6-12 Month Contract)
We are seeking a highly skilled and motivated SAS Data Engineer with Python and Credit Risk experience to lead a dynamic team.
As a SAS Data Engineer, you will play a crucial role in developing and maintaining data infrastructure, ensuring the efficient and accurate processing of large datasets.
You will collaborate with cross-functional teams to implement data pipelines, design data models, and provide valuable insights into credit risk analysis.
This is an exciting opportunity to contribute to the growth and success of our organization by leveraging your expertise in SAS, Python, and credit risk analysis.
* Design, develop, and maintain SAS data integration processes and solutions to ensure the availability, reliability, and integrity of credit risk data.
* Collaborate with stakeholders, data scientists, and software engineers to understand data requirements and translate them into technical solutions.
* Build and optimize data pipelines and workflows to extract, transform, and load (ETL) large datasets from various sources into SAS.
* Implement data quality checks and ensure data consistency, accuracy, and compliance with regulatory standards.
* Develop and maintain data models, ensuring proper data organization, storage, and retrieval.
* Perform data analysis and provide insights into credit risk assessment, identifying trends, patterns, and anomalies.
* Stay updated with industry trends and best practices in credit risk analysis and data engineering, and apply them to improve processes and methodologies.
* Collaborate with team members to troubleshoot issues, resolve data-related problems, and optimize data processes for performance and scalability.
* Document data engineering processes, methodologies, and solutions for knowledge sharing and future reference.
* Bachelor's degree in Computer Science, Information Systems, or a related field. A master's degree is a plus.
* Proven experience as a Data Engineer, preferably in a financial institution or credit risk domain.
* Strong proficiency in SAS programming, including SAS Base, SAS Macro, and SAS SQL.
* Proficiency in Python programming for data manipulation, analysis, and automation.
* Solid understanding of credit risk concepts and methodologies, including credit scoring, provisioning, and stress testing.
* Experience with data modeling, database design, and performance optimization.
* Proficiency in ETL processes and tools, and strong knowledge of data integration techniques.
* Familiarity with statistical analysis and machine learning techniques used in credit risk modeling.
* Excellent problem-solving skills and the ability to work in a fast-paced, deadline-driven environment.
* Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
* Certification in SAS programming or credit risk analysis.
* Experience with data visualization tools such as Tableau or Power BI.
* Knowledge of cloud-based data platforms and technologies, such as AWS or Azure.
* Familiarity with other programming languages and tools commonly used in data engineering and analysis, such as R, SQL, or Spark.
We offer competitive compensation packages and a supportive work environment that fosters growth and professional development. If you are a dedicated and skilled SAS Data Engineer with Python and Credit Risk experience, we invite you to join our team and make a significant impact on our organization's success.