Description

You will build and maintain scalable data processing workflows within the AWS ecosystem.

Responsibilities

• Write effective, scalable code for data processing tasks using PySpark.
• Build, test, and deploy applications and pipelines on AWS.
• Debug programs to identify and resolve technical issues.
• Translate user requirements into technical solutions.
• Automate manual processes and workflows.

Required Skills

• 4+ years of professional software engineering experience.
• Proficiency with PySpark for data processing.
• Hands-on experience with AWS Glue.
• Experience with AWS services including S3, SNS, and SQS.
• Strong SQL skills.
• Experience with Terraform for infrastructure as code.
• Any graduate degree.

Key Skills

Education

Any gradudate