Description

Design and manage scalable data pipelines within an AWS environment.

Responsibilities

  • Build and maintain AWS ETL pipelines to support data workflows.
  • Configure IAM roles and manage cloud data migrations using AWS DMS and Cross Account Replication.
  • Implement data ingestion and design patterns to ensure data quality and reliability.
  • Deploy infrastructure using AWS CDK to automate data environments.

Required Skills

  • 5+ years of professional experience in data engineering roles.
  • 4+ years of experience developing and maintaining AWS ETL pipelines.
  • Hands-on expertise with AWS services including S3, Lambda, Step Functions, AWS Glue, and IAM.
  • Strong proficiency in Python.
  • Experience with AWS CDK for infrastructure as code.
  • Experience with cloud data migration tools such as AWS DMS.
  • Any graduate degree.

Preferred Skills

  • Experience with Data Lake Formations.

Key Skills
Education

ANY GRADUATE