Description

You will design and implement data engineering and ETL solutions within an AWS environment.

Responsibilities

• Build and maintain data ETL pipelines using AWS Glue and Redshift.
• Develop serverless workflows using Lambda, Step Functions, and EventBridge.
• Manage data storage and retrieval using DynamoDB, S3, and Redshift.
• Monitor system health and automate processes using CloudWatch, SNS, and S3 event triggers.
• Implement batch processing and large-scale data tasks using EMR and AWS Batch.

Required Skills

• AWS Associate Developer or Architect certification (Mandatory).
• 5+ years of professional experience in data architecture or engineering.
• Expertise in Python and SQL.
• Hands-on experience with AWS Redshift (Mandatory).
• Proficiency with AWS Lambda, Glue, and Step Functions.
• Experience with EventBridge, CloudWatch, and SNS.
• Working knowledge of DynamoDB, S3, and Elastic Beanstalk.
• Foundational knowledge of AWS EMR and AWS Batch.
• Degree in any graduate field.

Key Skills

Education

Any Graduate