Big Data QA - Up to £375 P/D - London/Hybrid

Big Data QA - Up to £375 P/D - London/Hybrid

Posted Today by Hunter Bond

£375 Per day
Undetermined
Hybrid
London, United Kingdom

Summary: The Big Data QA role is designed for a skilled individual to join a growing fintech company, focusing on testing data pipelines and contributing to technology platform development. The position offers the opportunity to collaborate with experienced SDETs and software engineers in a dynamic environment. Candidates should possess a strong background in big data QA and relevant technologies. This hybrid role is based in London, allowing for a blend of remote and on-site work.

Key Responsibilities:

  • Testing data pipelines and ensuring quality in big data environments.
  • Collaborating with SDETs and software engineers to enhance technology platforms.
  • Utilizing Azure and Databricks or similar technologies in testing processes.
  • Communicating effectively with team members and stakeholders.

Key Skills:

  • 3+ years of experience testing data pipelines/working in big data as a QA.
  • Strong experience working with Azure.
  • Experience with Databricks or similar data lake technologies.
  • Exposure to Python/C#/Java is a plus but not required.
  • Strong communication skills.

Salary (Rate): £375 daily

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Title: Big Data QA

Client: Growing Fintech

Rate: Up to £375

Location: London/Remote (Hybrid)

We are looking for a talented and enthusiastic Big Data QA to join a rapidly expanding fintech based in London!

You will get the chance to work alongside some of the best SDETs and software engineers that the industry has to offer, whilst aiding in the development of their technology platforms!

If you are a tech-driven and enthusiastic individual, this is the role for you!

Requirements:

  • 3+ years of experience testing data pipelines/working in big data as a QA
  • Strong Experience working with Azure
  • Experience with Databricks - or similar data lake technologies
  • Exposure to Python/C#/Java - Big plus but not required!
  • Strong communication skills

If this sounds like you, then please do not hesitate to reach out!