Description
Tiger Analytics is hiring a Senior Data Engineer to build scalable Generative AI architectures in the AWS ecosystem. The role focuses on architecting data pipelines and data foundations for LLMs and autonomous agents, including Amazon Bedrock and SageMaker, vector search and RAG, serverless ETL, data lakehouses, and automated model fine-tuning and deployment. Candidates need 8–12 years of data engineering experience, deep AWS expertise, AI/ML tool proficiency, infrastructure-as-code experience, and advanced SQL, Python, and PySpark skills.
