Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
We are seeking an experienced Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations that power LLMs and autonomous agents for our Fortune 500 partners.
Requirements
Experience: 8-12 years 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
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics is a fast-growing advanced analytics consulting firm that serves as the trusted analytics partner for several Fortune 100 companies. The firm specializes in Data Science, Machine Learning, AI, Business Intelligence, and Data Engineering, enabling clients to generate business value from data. Tiger Analytics has been recognized by leading market research firms including Forrester and Gartner for its business value and leadership in the analytics consulting space. The company delivers scalable analytics solutions across various domains including commercial pharma, retail, marketing, and customer analytics.
