Are you experienced in Amazon Redshift and AWS data platforms and looking for an opportunity to work in a integral, cloud-focused environment?

At NTT DATA, we are looking for a Semi-Senior AWS Redshift Database / Data Platform Administrator to manage and optimize business-critical analytical platforms while collaborating with Data Engineering, Analytics, Cloud, Infrastructure, and Cybersecurity teams.

Location: Peru - Nationwide | Preference for Trujillo or Arequipa

What you’ll do

You will help ensure the availability, performance, security, data protection, and operational continuity of Amazon Redshift and related AWS data services.

Your responsibilities will include:
- Administering, monitoring, maintaining, and supporting Amazon Redshift production environments.
- Managing clusters, databases, schemas, users, roles, permissions, and security configurations.
- Performing daily health, availability, performance, security, and capacity checks.
- Analyzing and optimizing SQL queries and analytical workloads.
- Optimizing distribution, sort strategies, statistics, storage,



and resource utilization.
- Managing and optimizing Workload Management (WLM) and concurrency.
- Implementing and validating snapshots, restore, and data recovery strategies.
- Supporting High Availability and Disaster Recovery requirements.
- Managing access through AWS IAM and Redshift security mechanisms following least-privilege principles.
- Managing privileged credentials through CyberArk or equivalent PAM solutions when applicable.
- Ensuring appropriate encryption for data at rest and in transit.
- Participating in security patching, vulnerability assessments, and remediation activities.
- Monitoring Redshift and related AWS services using Amazon CloudWatch and enterprise observability tools.
- Performing proactive capacity planning and workload growth analysis.
- Supporting database refreshes, data extraction, loading, purging, and other data movement activities.
- Collaborating with Dat

📌 AWS Redshift Database (Lima)
🏢 NTT DATA Europe & LATAM
📍 Lima