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AWS Redshift Data Engineer / Data Architect

Job description

This is a remote position.

Role: AWS Redshift Data Engineer / Data Architect - Remote 

Overview

We are looking for a senior AWS Redshift expert to support analytics platform enhancements, including Redshift optimization, migration to Redshift Serverless, and modern data ingestion architecture.

Key Responsibilities

  • 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.

Required Skills

  • 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.

Nice to Have


  • Exposure to AI-assisted query optimization or analytics platforms.

  • Experience building or supporting BI and analytics use cases at scale.



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