Database Administrator - Tamheer Program

We are looking for a curious, detail-oriented, and ambitious Database Administrator Trainee to join our Data Platform team through the Tamheer Program.

This role is ideal for someone who enjoys solving complex problems, analyzing system behavior, working with data, and understanding how critical technology platforms operate behind the scenes.

As a DBA Trainee, you will gain hands-on exposure to production-scale database environments and learn how databases are designed, monitored, optimized, secured, backed up, and recovered.

Database administration requires precision and responsibility. A small configuration or query mistake can sometimes have a significant impact. Therefore, we are looking for someone who approaches tasks carefully, validates their work, asks the right questions, and remains calm when investigating technical problems.

This will be a challenging learning journey filled with technical exploration, troubleshooting, benchmarking, automation, and real-world engineering experience.

Key Responsibilities

You will work closely with experienced Database Administrators, Data Engineers, and Platform Engineers to:

• Write, review, and optimize SQL queries.
• Analyze database performance and identify slow or inefficient queries.
• Support database monitoring, health checks, and capacity analysis.
• Assist with database backup, recovery, replication, and high-availability activities.
• Investigate database incidents and help identify root causes.
• Perform benchmarking and compare database configurations, queries, and technologies.
• Develop Python scripts to automate repetitive database and operational tasks.
• Validate data accuracy, consistency, and integrity.
• Prepare technical reports, performance findings, and recommendations.
• Support documentation of database standards, operational procedures, and best practices.
• Learn how database changes are safely tested before being applied to critical environments.
• Participate in continuous improvement initiatives across the Data Platform.

Requirements