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Data Engineer

2 months ago
Canada
Full-time
Lead
Data Engineer
Software Development
Apache Spark AWS AWS CDK Python SQL Terraform
Apply Now
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
View All Jobs 71

Description

  • Architect scalable data foundations for generative AI workloads within the AWS ecosystem.
  • Build and support data pipelines and analytics infrastructure for LLM and agent-based applications.
  • Work with unstructured data sources such as text, images, and PDFs to enable AI/ML use cases.
  • Collaborate on the design of cloud-native data solutions for enterprise clients.
  • Deploy and manage infrastructure as code for data and AI environments.
  • Develop distributed processing workflows on AWS for large-scale data workloads.
  • Optimize data engineering solutions using SQL, Python, and PySpark.
  • Contribute to consulting engagements delivering business value from data for Fortune 100 and Fortune 500 partners.

Requirements

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

Benefits

  • Significant career development opportunities as the company grows.
  • Opportunity to work in a small, challenging, entrepreneurial environment.
  • High degree of individual responsibility.

Interested in this position?

Apply directly on the company website

Apply Now

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