Lead Data Engineer - AWS

Tiger Analytics is seeking an experienced Senior Data Engineer to join their team and build scalable Generative AI architectures within the AWS ecosystem.

Requirements

• 8-12 years of experience in Data Engineering with a heavy focus on the AWS Cloud stack.
• AWS Expertise: Deep hands-on experience with Glue, Athena, EMR, and Redshift.
• AI/ML Tools: Proficiency in LangChain or LlamaIndex integrated with AWS services to handle unstructured data (text, images, PDFs).
• DevOps & IAC: Experience deploying infrastructure using AWS CDK or Terraform.
• Core Skills: Advanced SQL, Python, and PySpark skills tailored for distributed processing on AWS.

Benefits

• Equal employment opportunities
• Significant career development in a fast-growing and challenging entrepreneurial environment