Found Description
AI and Data Engineer, Google Cloud Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience. 5 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume). Experience managing client-facing projects, troubleshooting technical issues, and working with engineering and sales services teams. Preferred qualifications: Experience building data pipelines specifically for AI agents, vector databases, or feature stores. Experience managing data privacy and compliance in a highly regulated or large-scale corporate environment. Strong understanding of data infrastructure concepts and ability to layout policies for a foundational data layer. Familiarity with Google Cloud’s data stack (BigQuery, Dataflow, Pub/Sub, Vertex AI). Ability to translate executive-level business requirements into technical data architectures. Familiarity with Google Cloud’s data stack (BigQu...