Numentica
Redshift Expert
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Redshift Expert (AWS Redshift Data Engineer/Data Architect) with a contract length of "unknown", offering a pay rate of "unknown", and is fully remote. Key skills include Amazon Redshift, SQL performance tuning, and AWS data engineering.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 15, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Engineering #Apache Iceberg #RDS (Amazon Relational Database Service) #Data Architecture #DynamoDB #Redshift #AI (Artificial Intelligence) #Amazon Redshift #Batch #Storage #Data Ingestion #SQL (Structured Query Language) #AWS (Amazon Web Services) #Migration #BI (Business Intelligence)
Role description
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.
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.
