Description

Engineer data infrastructure supporting mission-critical applications in a cloud-native environment.

This role is hybrid.

Responsibilities

• Design, build, and maintain scalable data pipelines using Python or shell/bash scripting.
• Implement and manage core AWS services including Lambda, S3, and Fargate.
• Automate workflows and deployment processes using CI/CD pipelines with Jenkins and Docker.
• Monitor system and application health using observability tools like New Relic or Splunk.
• Collaborate with teams to ensure optimal data flow and integrity while applying cloud data engineering best practices.

Required Skills

• 10+ years of experience in data engineering.
• Proficiency in Python, Bash, or Shell scripting.
• Strong experience with AWS, specifically Lambda, S3, and Fargate.
• Hands-on experience with DevOps tools, including Jenkins, Docker, and CI/CD pipelines.
• Familiarity with monitoring tools such as New Relic or Splunk.
• Any Graduate degree.

Key Skills

Education

Any Graduate