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- Tasks: Ensure data accuracy by developing test plans and executing validation scripts.
- Company: Global technology consulting firm with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on data quality assurance.
- Qualifications: Strong SQL skills and a keen eye for detail.
- Other info: Collaborative environment with cross-functional teamwork.
The predicted salary is between 36000 - 60000 £ per year.
A global technology consulting firm in the United Kingdom seeks a meticulous Data QA Analyst to join its new data team. In this role, you will ensure data accuracy and reliability through the development of test plans and execution of scripts for validation.
Ideal candidates will possess strong SQL skills, data governance understanding, and excellent attention to detail. The firm values motivated individuals who can collaborate effectively with cross-functional teams to enhance data quality assurance processes.
Data Quality Engineer - ETL & Analytics Validation employer: Luxoft
Contact Detail:
Luxoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Engineer - ETL & Analytics Validation
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini portfolio or case studies showcasing your SQL prowess and any data validation projects you've tackled. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common interview questions related to data quality and ETL processes. Mock interviews with friends can help you nail your responses and boost your confidence.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Data Quality Engineer - ETL & Analytics Validation
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you can use it to ensure data accuracy and reliability, so don’t hold back on sharing relevant experiences!
Detail is Key: Since we’re looking for someone with excellent attention to detail, be meticulous in your written application. Double-check for any typos or errors, and make sure your examples clearly demonstrate your data governance understanding.
Collaborate in Your Application: We value motivated individuals who can work well with others. If you’ve had experience collaborating with cross-functional teams, share those stories! It’ll show us you’re a great fit for our team-oriented environment.
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 see what you bring to the table!
How to prepare for a job interview at Luxoft
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with writing complex queries and how you've used SQL in past projects. Practising common SQL problems can help you feel more confident when discussing technical aspects.
✨Understand Data Governance
Familiarise yourself with data governance principles and practices. Be ready to explain how you ensure data accuracy and reliability in your work. This will show that you not only understand the technical side but also the importance of data quality in a broader context.
✨Showcase Your Attention to Detail
Prepare examples from your previous roles where your attention to detail made a significant impact. Whether it was catching a critical error or improving a process, having specific anecdotes will demonstrate your meticulous nature, which is crucial for a Data QA Analyst.
✨Highlight Collaboration Skills
Since the role involves working with cross-functional teams, be ready to discuss your experience collaborating with others. Share instances where you successfully worked with different departments to enhance data quality assurance processes, showcasing your ability to communicate and work well with diverse teams.
