Description

You will build and manage data services within public cloud environments, focusing on automation and containerization.

Responsibilities

• Build data services in public cloud environments such as AWS, Azure, or GCP.
• Design and implement CI/CD pipelines and containerization workflows.
• Deploy and manage the Kubernetes ecosystem within GCP Container Service.
• Automate infrastructure and workflows using Python, Ruby, Go, or other scripting languages.
• Support enterprise data engineering capabilities, including pipelines and data quality frameworks.

Required Skills

• Minimum 2+ years of experience building data services in public clouds (AWS, Azure, or GCP).
• Cloud platform certification (GCP preferred).
• In-depth knowledge of cloud architecture.
• Hands-on experience with GitHub, Jenkins, Puppet, and Docker.
• Experience with CI/CD pipeline creation and containerization.
• Proficiency with Kubernetes deployment within GCP.
• Scripting experience with Python, Ruby, or Go.
• Familiarity with data engineering pipelines and analytical modeling.
• Any graduate degree.

Preferred Skills

• Experience with schema design, data modeling, and SQL queries.

Key Skills

Education

ANY GRADUATE