Performance Test Engineer

Roles and Responsibilities:

• Candidate should have experience in custom coding in Java to build custom tools ,implement Performance Tuning solutions and road map for the platform.
• Must have load runner or Jmeter performance testing
• Develop Nonfunctional requirements for new and old platform
• Experience in Capacity planning
• Experience in Chaos engineering and SRE
• Hands-on experience in various performance tuning tools
• Lead the design, development, and execution of performance test plans and test cases for Big Data, Payment’s solutions and for multi cloud and third-party applications
• Oversee the analysis of performance test results to identify bottlenecks, performance issues, and areas for optimization.
• Collaborate with development, DevOps, and data engineering teams to implement performance improvements.
• Develop and maintain automated performance testing scripts using industry-standard tools and frameworks.
• Conduct performance tuning and optimization of ETL processes and data pipelines.
• Utilize Microsoft Azure PaaS services, including Azure Synapse Analytics, Azure Spark, Cosmos DB, and Azure Data Lake (Azure ELZ) for performance testing and optimization.
• Work with Cloudera Big Data technologies, Payments, Channel, Kafka, micro services Teradata, and Oracle to assess and enhance performance.
• Manage batch processes and scheduling using Control-M scheduler.
• Provide detailed performance analysis reports and recommendations to stakeholders.
• Mentor and guide team members on performance testing methodologies, tools, and best practices.
• Stay updated with the latest trends and best practices in Big Data performance testing and cloud technologies.
• Ensure all testing activities comply with industry standards and best practices.

ESSENTIAL:

• Good knowledge of technology landscape to be able to guide team.
• Tertiary Qualification in IT / Computer Science / related discipline.

PREFERRED:

• Strong Java programming skills for custom tool development.
• Expertise in performance tuning, capacity planning, and non-functional requirements.
• Hands-on experience with performance testing tools and automation frameworks.
• Deep knowledge of Big Data ecosystems, multi-cloud platforms, and payment solutions.
• Familiarity with Azure PaaS services, Cloudera, Kafka, Teradata, and Oracle.
• Experience with Control-M scheduler for batch process management.
• Strong analytical, problem-solving, and communication skills.
• Ability to lead cross-functional teams and mentor junior engineers.

ADDITIONAL:

1. Excellent customer-facing skills
2. Excellent written and verbal communication skills
3. Strong attention to detail and outstanding analytical and problem-solving skills.