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- Tasks: Ensure data quality through testing and validation in exciting projects.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for skill development.
- Other info: Dynamic team environment with great potential for career advancement.
- Why this job: Be at the forefront of data discovery and make a real difference.
- Qualifications: Experience in data testing and coding with Python or SQL.
The predicted salary is between 40000 - 50000 £ per year.
Location: United Kingdom
Posted about 1 month ago
Skills Required:
- Good understanding of Data Lakes and Data Warehouses.
- Software development and coding expertise in the Data Science field using Python, Spark, Scala, R, or Java.
- Any visualisation experience is an advantage.
- Experience using ANSI SQL and Spark SQL is key.
QA Engineer II - Data Discovery & Testing in Street employer: WorksHub
Contact Detail:
WorksHub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land QA Engineer II - Data Discovery & Testing in Street
✨Tip Number 1
Network like a pro! Reach out to folks in the data science and QA communities. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Data Lakes and SQL. This is your chance to demonstrate your coding expertise in Python or Spark. A strong portfolio can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common QA scenarios and testing methodologies. Practice explaining your thought process when it comes to data discovery and testing. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged. So, get that application in and let’s get you on board!
We think you need these skills to ace QA Engineer II - Data Discovery & Testing in Street
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding expertise in Python, Spark, or any other relevant languages. We want to see how your skills align with our needs, so don’t hold back!
Data Knowledge is Key: Since this role focuses on Data Discovery and Testing, it’s crucial to demonstrate your understanding of Data Lakes and Data Warehouses. Share any relevant experiences that showcase your knowledge in these areas.
SQL Matters: Experience with ANSI SQL and Spark SQL is a must-have for us. Be sure to mention any projects or tasks where you’ve successfully used these skills to solve problems or improve processes.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at WorksHub
✨Know Your Data Inside Out
Make sure you have a solid understanding of Data Lakes and Data Warehouses. Brush up on how they work, their differences, and why they're important in the QA process. Being able to discuss these concepts confidently will show your potential employer that you're well-prepared.
✨Show Off Your Coding Skills
Since coding expertise is crucial for this role, be ready to demonstrate your skills in Python, Spark, Scala, R, or Java. Prepare for potential coding challenges or technical questions by practising common algorithms or data manipulation tasks relevant to data science.
✨SQL is Your Best Friend
With ANSI SQL and Spark SQL being key requirements, make sure you’re comfortable writing queries and optimising them. Practise by working on sample datasets and be prepared to explain your thought process during the interview.
✨Visualisation Experience Counts
If you have any experience with data visualisation tools, be sure to highlight it. Discuss how you've used visualisation to communicate findings or insights in past projects. This can set you apart from other candidates who may not have this skill.