Lead Data Engineer - AWS

6 days, 15 hours ago
Full-time
Lead
Software Development
Tiger Analytics

Tiger Analytics

Tiger Analytics is a leading advanced analytics consulting firm partnering with Fortune 100 companies to drive business value through expertise in marketing science, customer analytics, and operations analytics.

Professional Services
1K-5K
Founded 2011

Description

  • Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale Generative AI applications.
  • Implement and optimize vector search capabilities for Retrieval-Augmented Generation using Amazon OpenSearch Serverless or specialized vector engines.
  • Build highly scalable, event-driven ETL pipelines using AWS Lambda, AWS Glue, and Amazon Kinesis.
  • Manage large-scale data lakehouses using Amazon S3, AWS Lake Formation, and Amazon Redshift.
  • Integrate AWS Step Functions and SageMaker Pipelines to automate fine-tuning and deployment of foundation models.
  • Design data infrastructure that powers LLMs and autonomous agents for enterprise partners.

Requirements

  • 8-12 years of experience in Data Engineering with a heavy focus on the AWS cloud stack.
  • Deep hands-on experience with AWS Glue, Athena, EMR, and Redshift.
  • Proficiency in LangChain or LlamaIndex integrated with AWS services for handling unstructured data such as text, images, and PDFs.
  • Experience deploying infrastructure using AWS CDK or Terraform.
  • Advanced SQL, Python, and PySpark skills for distributed processing on AWS.

Benefits

  • Opportunity for significant career development in a fast-growing entrepreneurial environment.
  • High degree of individual responsibility in the role.
  • Equal employment opportunities regardless of race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or other protected characteristics.

Interested in this position?

Apply directly on the company website

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