AWS Redshift Data Engineer / Data Architect

Role Overview

• Optimize and modernize Amazon Redshift environments, including consolidation into Redshift Managed Storage (RMS).
• Lead or support migration from Provisioned Redshift to Redshift Serverless with zero or minimal downtime.
• Analyze and tune Redshift SQL for performance across batch and ad-hoc analytical workloads.
• Review and enhance data ingestion pipelines from AWS sources such as RDS, DynamoDB, and Kinesis.
• Design data delivery into Apache Iceberg tables and Redshift with minimal duplication and high efficiency.
• Collaborate with stakeholders on architecture recommendations and best practices.

Requirements

• Strong hands-on experience with Amazon Redshift (Provisioned, Serverless, RMS).
• Deep SQL performance tuning and query optimization expertise.
• Solid AWS data engineering background (RDS, DynamoDB, Kinesis).
• Experience with modern lakehouse concepts, especially Apache Iceberg.
• Data architecture and analytical platform design experience.

Tech Stack

• Amazon Redshift
• Apache
• AWS
• DynamoDB
• SQL

Benefits

• Remote Job