Description

Build and maintain scalable data infrastructure and automation tools using Python and AWS services.

This role is hybrid.

Responsibilities

• Develop and optimize Python applications with a focus on data processing using Pandas.
• Manage cloud infrastructure and deployments via AWS, utilizing boto3 for programmatic control.
• Containerize applications with Docker and manage version control using Git.
• Implement and maintain CI/CD pipelines to ensure consistent delivery.
• Monitor system health and performance using CloudWatch, Dynatrace, or Datadog.

Required Skills

• 12+ years of professional Python development experience.
• 6+ years of hands-on experience with Python Pandas for data manipulation.
• Strong proficiency with AWS services and boto3 SDK.
• Experience with Docker containerization.
• Knowledge of CI/CD tooling and Git workflows.
• Familiarity with observability tools such as CloudWatch, Dynatrace, or Datadog.
• Any graduate degree in a relevant field.

Preferred Skills

• Previous experience in data engineering or infrastructure automation roles.

Key Skills

Education

Any Gradute