Google Cloud Data Engineer implementing data ingestion and analytics frameworks at Fueled. Specializing in Google Cloud Platform and modern data modeling.
About the role
- Data Engineer at Tiger Analytics architecting scalable Generative AI solutions in the AWS ecosystem for Fortune 500 partners. Joining a team with deep expertise in Data Science and Machine Learning.
Responsibilities
- 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.
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