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- Tasks: Create testing and automation frameworks for data pipelines in a collaborative environment.
- Company: Leading digital engineering partner with a focus on innovation.
- Benefits: Competitive pay, learning opportunities, and a supportive team culture.
- Why this job: Join a dynamic team and ensure data correctness using cutting-edge technology.
- Qualifications: Strong testing skills, experience with Pytest, and proficiency in Python and Bash.
- Other info: Great opportunity for growth and development in a tech-driven environment.
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 employer: GlobalLogic
Contact Detail:
GlobalLogic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract QA Engineer - Data Pipelines & Automation
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with data pipelines and automation. A friendly chat can lead to insider info about job openings that aren't even 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 passion for QA engineering.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and Bash scripting skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with common QA scenarios and questions.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our collaborative culture.
We think you need these skills to ace Contract QA Engineer - Data Pipelines & Automation
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 your application and ensures you don’t miss out on any important updates from us!
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 them in past projects, and think of specific examples where your testing skills made a difference.
✨Show Off Your Scripting Skills
Since the role requires proficiency in Python and Bash scripting, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient scripts beforehand.
✨Understand the Data Pipeline
Familiarise yourself with data pipelines and how they function within a Databricks Lakehouse environment. Being able to explain how you ensure data correctness will show that you understand the bigger picture and can contribute effectively.
✨Emphasise Collaboration
This position values a collaborative work culture, so be prepared to discuss how you've worked in teams before. Share examples of how you’ve contributed to a positive team dynamic and supported your colleagues in achieving common goals.
