QA Tester: Informatica & Cloud Data Performance

QA Tester: Informatica & Cloud Data Performance

Full-Time 46800 - 65000 Β£ / year (est.) No working from home possible
Opus Recruitment Solutions

At a Glance

  • Tasks: Ensure high-quality testing across data platforms and identify performance bottlenecks.
  • Company: Opus Recruitment Solutions, supporting public sector data programmes.
  • Benefits: Competitive salary, flexible working hours, and opportunities for skill development.
  • Other info: Dynamic team environment with potential for career advancement.
  • Why this job: Join a vital project that impacts public services while honing your QA skills.
  • Qualifications: Experience with Informatica, AWS, and Azure required.

The predicted salary is between 46800 - 65000 Β£ per year.

Opus Recruitment Solutions is looking for two Quality Assurance Testers (Informatica) to support a public sector data programme in the United Kingdom. The role involves ensuring high-quality testing across data platforms, emphasizing Informatica solutions in cloud environments.

The ideal candidates will execute testing, monitor performance, and identify bottlenecks while working on data projects. Experience with AWS and Azure platforms is required.

QA Tester: Informatica & Cloud Data Performance employer: Opus Recruitment Solutions

Opus Recruitment Solutions is an excellent employer, offering a dynamic work culture that prioritises collaboration and innovation in the public sector. With a strong focus on employee growth, we provide ample opportunities for professional development and training in cutting-edge technologies like AWS and Azure. Our commitment to quality assurance in data performance ensures that you will be part of meaningful projects that make a real impact in the UK.

Opus Recruitment Solutions

Contact Details:

Opus Recruitment Solutions Recruitment Team

We think you need these skills to ace QA Tester: Informatica & Cloud Data Performance

Quality Assurance Testing
Informatica Solutions
Cloud Environments
Performance Monitoring
Bottleneck Identification
Data Projects
AWS