数据工程师
Data Engineer
Tiger Analytics 是一家快速发展的高级分析咨询公司。我们的顾问在数据科学、机器学习和人工智能领域拥有深厚的专业知识。我们是多家财富 100 强公司的可信赖分析合作伙伴，帮助他们从数据中创造商业价值。我们的商业价值和领导力已获得多家市场研究机构的认可，包括 Forrester 和 Gartner。随着我们持续打造全球最佳的分析咨询团队，我们正在寻找顶尖人才加入。
我们正在寻找一位经验丰富的数据工程师加入团队，专注于在 AWS 生态系统中构建可扩展的生成式 AI 架构。你将负责构建支撑大型语言模型和自主代理的数据基础架构，为我们的财富 500 强合作伙伴提供支持。
要求
· 经验：8-12 年数据工程经验，重点在 AWS 云技术栈。
· AWS 专业知识：对 Glue、Athena、EMR 和 Redshift 有深入的实战经验。
· AI/ML 工具：熟练使用 LangChain 或 LlamaIndex，并与 AWS 服务集成，处理非结构化数据（文本、图片、PDF）。
· DevOps 与 IAC：有使用 AWS CDK 或 Terraform 部署基础设施的经验。
· 核心技能：精通 SQL、Python 和 PySpark，适用于 AWS 上的分布式处理。
福利
随着公司的发展，存在显著的职业发展机会。该职位提供一个独特的机会，加入一个小型、具有挑战性和创业氛围的环境，享有高度的个人责任感。
最初发布于 Himalayas
查看英文原文
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.
Originally posted on Himalayas