Tiger Analytics

Gen AI Data Engineer

Tiger Analytics

Overview

Role involves designing and building distributed data systems and large-scale data warehouses.

Ideal candidate has 8+ years of experience in data engineering with expertise in data platforms and pipelines.

remotefull-timeEnglishPythonSQLPySparkSnowflakeNoSQLApache AirflowAWSGCPLinuxGitHubJenkinsTerraformDockerKubernetes

Locations

  • United States

Requirements

  • 8+ years experience in data engineering
  • Proficiency in Python, SQL, and PySpark
  • Experience with AWS or GCP
  • Strong presentation and communication skills
  • Experience with GitHub
  • Experience in building and deploying data pipelines
  • Experience with Docker and Kubernetes
  • Knowledge of disaster recovery planning

Responsibilities

  • Design and build distributed data systems
  • Architect data platforms for large-scale data
  • Build robust data pipelines
  • Integrate external databases and APIs
  • Conduct experiments for RAG workflows
  • Monitor system performance and optimize
  • Collaborate with onshore/offshore teams
  • Stay updated with industry trends

Benefits

  • Career development opportunities
  • High degree of individual responsibility