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- Tasks: Create testing and automation frameworks for data pipelines and ensure data correctness.
- Company: Leading digital engineering partner with a focus on innovation.
- Benefits: Collaborative culture, learning opportunities, and professional development.
- Why this job: Join a dynamic team and enhance your skills in a cutting-edge environment.
- Qualifications: Strong testing skills, experience with Pytest, and proficiency in Python and Bash.
- Other info: Great opportunity for growth in a supportive work culture.
The predicted salary is between 36000 - 60000 £ per year.
A leading digital engineering partner is looking for a QA Engineer to create testing and automation frameworks for projects. The role involves manual checks and writing automation scripts to ensure data correctness within a Client Databricks Lakehouse environment.
Candidates should have strong testing capabilities, experience with frameworks like Pytest, and be proficient in Python and Bash scripting.
This position offers a collaborative work culture focused on learning and development.
Contract QA Engineer - Data Pipelines & Automation in London employer: GlobalLogic
Contact Detail:
GlobalLogic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract QA Engineer - Data Pipelines & Automation in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with data pipelines or automation. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your testing frameworks or automation scripts. This gives potential employers a sneak peek into your capabilities and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and Bash scripting skills. Be ready to discuss how you've used these in past projects, especially in relation to data correctness and automation. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our collaborative work culture focused on learning and development.
We think you need these skills to ace Contract QA Engineer - Data Pipelines & Automation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with testing frameworks like Pytest and your skills in Python and Bash scripting. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the QA Engineer position and how your skills can contribute to our collaborative work culture. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles, especially related to data correctness and automation. We love seeing candidates who can think critically and adapt to new situations!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, we can’t wait to hear from you!
How to prepare for a job interview at GlobalLogic
✨Know Your Testing Frameworks
Make sure you brush up on your knowledge of testing frameworks like Pytest. Be ready to discuss how you've used it in past projects, and maybe even prepare a few examples of how you would implement it in the role.
✨Show Off Your Scripting Skills
Since proficiency in Python and Bash scripting is key, be prepared to demonstrate your skills. You might want to practice writing a small script or two that could be relevant to data pipelines, as this could come up during technical discussions.
✨Understand the Databricks Environment
Familiarise yourself with the Databricks Lakehouse environment. Knowing how data flows through this system and how to ensure its correctness will show that you're not just a QA Engineer, but one who understands the bigger picture.
✨Emphasise Collaboration and Learning
This role values a collaborative work culture, so be ready to share examples of how you've worked effectively in teams. Highlight any experiences where you’ve learned from others or contributed to their learning, as this aligns perfectly with the company’s focus on development.
