Teradata — System Performance Engineer

Posted: 16-06-2026

Salary: ₹12 - ₹20 Lakhs/Annum Expected

Description:

Teradata is hiring a System Performance Engineer to analyze, troubleshoot, and optimize the performance of enterprise-scale analytics and database environments. In this role, you will investigate system bottlenecks, perform root cause analysis, and work with customers and engineering teams to improve the stability, scalability, and efficiency of critical data platforms.

Key Technical Skills:

Linux, UNIX, Relational Databases, SQL, SQL Execution Plans, Query Optimization, Database Performance Tuning, Python, Shell Scripting, Perl, System Performance Diagnostics, System Resource Analysis, Network Fundamentals, Public Cloud Platforms, ServiceNow, Incident Management, Workload Analysis, Capacity Planning

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field.
  • Minimum 3+ years of experience in system performance engineering, database administration, technical support, or a related role.
  • Hands-on experience supporting Linux or UNIX systems in production environments.
  • Strong knowledge of relational databases, SQL, and query optimization.
  • Experience with performance diagnostics, troubleshooting, and root cause analysis.
  • Familiarity with scripting or automation using Python, Shell, Perl, or similar languages.
  • Understanding of network fundamentals and enterprise-scale system performance.
  • Experience using ticketing or incident management tools such as ServiceNow.
  • Strong analytical, communication, and problem-solving skills.
  • Ability to participate in on-call rotations and support a 24x7 global environment.

Important Notice:

This job description and related content are owned by Teradata. We are only sharing this information to help job seekers find opportunities. For application procedures, status, or any related concerns, please contact Teradata directly. We do not process applications or respond to candidate queries.