Description

You will design and implement data architectures leveraging the AWS ecosystem.

Responsibilities

• Design scalable data solutions using AWS infrastructure.
• Implement automated workflows using Lambda and Glue.
• Manage cloud services across IaaS, PaaS, and SaaS models.
• Develop data processing logic using Python and Java.

Required Skills

• 12-15 years of professional experience in data architecture or engineering.
• Deep expertise in AWS services including EC2 and Lambda.
• Proficiency in Python and Java.
• Experience with AWS Glue and SageMaker.
• Strong understanding of IaaS, PaaS, and SaaS frameworks.
• Degree in any graduate field.

Key Skills

Education

Any Graduate