Performance Engineer - Data Engineering Specialist

Performance Engineer

Project Role : Performance Engineer
Project Role Description : Diagnose issues that an in-house performance testing team has been unable to. There are five aspects to Performance Engineering: software development lifecycle and architecture, performance testing and validation, capacity planning, application performance management and problem detection and resolution.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Performance Engineer, your day involves investigating and resolving complex performance challenges that the internal performance testing team has not been able to address. You will engage deeply with various facets of performance engineering, including understanding the software development lifecycle and architecture, validating performance through rigorous testing, planning for capacity needs, managing application performance, and identifying as well as resolving problems. Your role requires a comprehensive approach to ensure systems operate efficiently and meet expected performance standards, often collaborating with multiple teams to deliver optimal solutions.

Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to analyze performance bottlenecks and recommend improvements.
- Monitor and report on system performance metrics to ensure alignment with business objectives.
- Assist in developing and maintaining performance testing strategies and tools.
- Support junior team members by sharing knowledge and providing guidance on performance engineering best practices.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Experience with designing and implementing scalable data pipelines and architectures.
- Strong knowledge of database systems, data warehousing, and ETL processes.
- Familiarity with performance monitoring tools and techniques to analyze system behavior.
- Ability to work with large datasets and optimize data processing workflows.
- Understanding of cloud platforms and distributed computing environments.

Additional Information:
- The candidate should have minimum 3 years of experience in Data Engineering.
- This position is based at our Mumbai office.
- A 15 years full time education is required.