Description

You will build and maintain data pipelines and front-end applications within an AWS environment.

Responsibilities

• Build and maintain data ETL pipelines using Python and AWS Glue.
• Develop front-end data submission applications using JavaScript and AWS Amplify.
• Implement new data feeds via API and maintain the AWS Amplify data upload platform.
• Support AWS Data Lake implementation by translating business needs into technical requirements.
• Define and enforce data governance and IAM policies.

Required Skills

• 5+ years of professional programming experience.
• Proficiency in Python for data processing.
• Hands-on experience with AWS Glue for ETL tasks.
• Experience with JavaScript for application development.
• Knowledge of AWS Amplify for front-end data submission.
• Experience working with AWS Data Lake architectures.
• Ability to implement identity and access management (IAM) policies.
• Experience with API integration for data feeds.

Preferred Skills

• Degree in any graduate field.

Key Skills

Education

Any Graduate