Description

Lead data engineering initiatives using modern cloud data stack technologies.

This role is on-site.

Responsibilities

• Build and maintain data pipelines using Python and AWS Airflow.
• Manage data transformation workflows with DBT Core and Snowflake.
• Provision and manage infrastructure using Terraform.
• Deploy and manage containerized services using Docker.

Required Skills

• 5+ years of professional data engineering experience.
• Expertise in Python and Snowflake.
• Hands-on experience with DBT Core.
• Proficiency in AWS Airflow for orchestration.
• Experience with Terraform for infrastructure as code.
• Practical knowledge of Docker and container services.
• Bachelor's degree or equivalent experience.

Preferred Skills

• Experience with BI tools such as Power BI or Tableau.
• Familiarity with Agile methodologies including Kanban or Jira.

Key Skills

Education

Any Graduate