Description

You will build and manage data ETL and engineering solutions within the AWS ecosystem.

This role is remote.

Responsibilities

• Develop data pipelines using AWS Glue, Lambda, and Step Functions.
• Manage data orchestration and event-driven workflows via EventBridge and S3 event triggers.
• Implement and maintain data storage solutions in Redshift, DynamoDB, and S3.
• Monitor system performance and logs using CloudWatch and SNS.
• Execute batch processing and compute tasks using AWS Batch and EMR.

Required Skills

• 7+ years of experience in data engineering roles.
• Proficiency in Python and SQL.
• Hands-on experience with AWS Lambda and EventBridge.
• Direct experience with AWS Glue, Redshift, and DynamoDB.
• Experience managing S3 event triggers and Elastic Beanstalk.
• Knowledge of AWS CloudWatch, SNS, and AWS Batch.
• Basic knowledge of AWS EMR.
• AWS Associate Developer or Architect certification.
• Bachelor's degree in any field.

Preferred Skills

• Proven ability in designing end-to-end ETL architectures.

Key Skills

Education

Any Graduate