Tiger Analytics seeks an experienced Data Engineer to create scalable generative AI architectures within AWS. Join a fast-growing team that empowers Fortune 500 companies with cutting-edge data solutions.
In this senior role, you will build robust data foundations vital for powering large language models and autonomous agents. Ideal candidates possess 8-12 years in Data Engineering, with strong expertise in the AWS Cloud stack and essential tools. Experience with LangChain or LlamaIndex for unstructured data is crucial.
Key Responsibilities:
• Architect data foundations for LLMs and autonomous agents
• Collaborate closely with Fortune 500 partners
• Utilize Glue, Athena, EMR, and Redshift effectively
• Deploy infrastructure using AWS CDK or Terraform
• Ensure advanced data processing with SQL, Python, and PySpark
Requirements:
• 8-12 years in Data Engineering experience
• Deep knowledge of AWS Cloud ecosystem
• Hands-on experience with Glue, Athena, EMR...