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- Tasks: Ensure data quality and reliability through testing and validation processes.
- Company: Join Live Nation Entertainment, a leader in the live entertainment industry.
- Benefits: Competitive salary, flexible working hours, and opportunities for growth.
- Other info: Exciting projects with a chance to make a real impact in the industry.
- Why this job: Be part of a dynamic team that shapes the future of data in entertainment.
- Qualifications: Experience in data science, coding skills in Python/Spark/Scala/R/Java, and SQL knowledge.
The predicted salary is between 40000 - 55000 £ per year.
Posted about 1 month ago
Skills Required:
- Good understanding of Data Lakes, Data Warehouses.
- Software development, coding expertise in the Data Science field using Python/Spark/Scala/R/Java.
- Any visualization experience is an advantage.
- Experience using ANSI SQL and Spark SQL is key to have.
QA Engineer II - Data Discovery and Test - Live Nation Entertainment, Inc. 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 and Test - Live Nation Entertainment, Inc. in Street
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Live Nation. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your coding projects, especially those using Python, Spark, or SQL. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on common QA scenarios and data testing techniques. Practise explaining your thought process clearly; it’s all about showing how you tackle problems.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace QA Engineer II - Data Discovery and Test - Live Nation Entertainment, Inc. in Street
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your understanding of Data Lakes and Data Warehouses in your application. We want to see your coding expertise in Python, Spark, Scala, R, or Java, so don’t hold back!
Visualisation Matters: If you've got any experience with data visualisation, let us know! It’s a great way to stand out and show how you can make data insights accessible.
SQL is Key: Since experience with ANSI SQL and Spark SQL is crucial, be sure to mention any relevant projects or roles where you’ve used these skills. We love seeing practical examples!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
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 their applications in real-world scenarios. This will show your potential employer that you're not just familiar with the terms but can also apply them effectively.
✨Show Off Your Coding Skills
Since coding expertise is crucial for this role, be prepared to discuss your experience with Python, Spark, Scala, R, or Java. Bring examples of projects you've worked on or challenges you've solved using these languages. If possible, practice some coding problems beforehand to keep your skills sharp.
✨SQL is Your Best Friend
As ANSI SQL and Spark SQL are key requirements, make sure you can confidently write and explain SQL queries. Prepare for questions that may require you to demonstrate your knowledge of data manipulation and retrieval. Practising common SQL problems can give you an edge.
✨Visualisation Matters
If you have any experience with data visualisation tools, be ready to discuss them. Even if it's not a primary requirement, showcasing your ability to present data visually can set you apart from other candidates. Think about how you've used visualisation to communicate insights in past projects.