Samsung - Cary, NC
posted 2 months ago
The Applied AI & Modelling (AAIM) Division at SAS is seeking a Data Quality Engineer to play a pivotal role in defining, designing, and implementing acquisition strategies for both internal and external data sources. This position is crucial for producing high-quality data sets that will serve as the foundation for model packages aimed at solving complex business problems for our customers. As a Data Quality Engineer, you will collaborate closely with AAIM leaders and other stakeholders to understand the data needs of the business, ensuring that the data acquired aligns with strategic objectives. In this role, you will be responsible for researching data value-add providers to enhance business strategy and keep up with evolving data trends. You will socialize potential data sources among senior team members to assess their value and lead the vetting process for third-party data acquisition. Effective communication will be key, as you will need to gain alignment within the team and with interdependent teams regarding data costs, capabilities, and limitations. Additionally, you will work with various SAS business entities, such as the Legal team, to manage data contracts, acquire third-party data assets, and ensure the secure storage of these assets. Governance and security issues surrounding acquired data will also be a focus, emphasizing responsible data usage. You will serve as the central hub for the data library, promoting data availability and producing technical documentation that is easily consumable by data teams and other engineering teams. Furthermore, you will collaborate with AAIM engineering to implement data acquisition tools, ensuring compliance with applicable security policies and processes to support the organization's secure software development goals.