About the Role

We are looking for an experienced Performance Test Engineer to join our team and support the client's Data Strategy program. The ideal candidate should have strong expertise in performance testing, workload modelling, test automation, and performance optimization of data platforms.

The candidate will be responsible for designing and executing performance testing strategies, identifying system bottlenecks, analysing application and data pipeline performance, and providing actionable recommendations to improve scalability, reliability, and efficiency.

Key Responsibilities

- Plan, design, and execute performance testing strategies for data platforms and applications.
- Develop workload models and performance test scenarios based on business and technical requirements.
- Create, maintain, and enhance performance test scripts using JMeter, LoadRunner, or Neo Load.
- Perform load, stress, endurance, scalability, and volume testing.
- Conduct performance testing of data pipelines, APIs, ETL workflows, data warehouses, and reporting layers.
- Analyze performance bottlenecks and identify root causes using APM and monitoring tools.
- Work closely with development, data engineering, infrastructure, and business teams to resolve performance issues.
- Perform SQL-based data validation and analyze database query performance.
- Prepare detailed performance test reports, dashboards, and tuning recommendations.
- Present performance findings and improvement recommendations to technical and business stakeholders.

Required Skills & Qualifications

- 6–8 years of experience in performance testing and engineering.




- Solid hands-on experience with performance testing tools such as: Apache JMeter ,Micro Focus LoadRunner, NeoLoad
- Good understanding of performance testing methodologies, including load, stress, endurance, volume, and scalability testing.
- Experience designing performance test strategies and workload models for data-intensive applications.
- Strong SQL skills and experience with database performance analysis and data validation.
- Experience in data warehouse, ETL, and big-data pipeline performance testing.
- Hands-on experience with APM tools such as Dynatrace, AppDynamics, or New Relic.
- Knowledge of cloud platforms such as AWS or Microsoft Azure.
- Scripting experience using Python and/or Groovy.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and stakeholder management skills.

Preferred Qualifications

- Experience working on enterprise-scale data platforms or Data Strategy programs.
- Understanding of distributed systems, data processing architectures, and API performance.
- Experience collaborating with data engineering and cloud infrastructure teams.
- Ability to translate performance test results into actionable technical recommendations.

Pay: ₹1,000,000.00 - ₹1,600,000.00 per year

Ability to commute/relocate:

- Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):

- What is your current CTC in Lacs per annum?
- What is your expected CTC in Lacs per annum?
- What is your notice period?
- How many years of experience do you have?

Work Location: In person

📌 Performance Test Engineer (Hyderabad)
🏢 SmartCoders Consulting
📍 Hyderabad