Description

You will build and deploy data applications and insight pipelines within an AWS environment.

Responsibilities

• Build and deploy applications using AWS services including S3, Glue, Redshift, and RDS.
• Develop data processing workflows using AWS EMR, Lambda, and Step Functions (State Machine).
• Implement messaging and integration patterns using SNS, SQS, and AppFlow.
• Manage infrastructure and deployments through CI/CD pipelines using CloudFormation and GitLab.
• Integrate with APIs and RESTful services to facilitate data movement.

Required Skills

• 5+ years of experience in data engineering or data analysis.
• Strong proficiency in Python.
• Advanced SQL skills for data analysis and manipulation.
• Hands-on experience with AWS EMR, Glue, and Redshift.
• Experience managing AWS services such as S3, RDS, Lambda, and CloudWatch.
• Knowledge of AWS messaging services including SNS and SQS.
• Experience with ECS and AppFlow.
• Proven ability to build CI/CD pipelines on AWS using CloudFormation and GitLab.
• Fannie Mae institutional knowledge.

Education

• Any Graduate.

Key Skills

Education

Any Gradute