At a Glance
- Tasks: Lead data validation and ETL testing to ensure top-notch data quality.
- Company: Dynamic tech services company based in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for skill development.
- Why this job: Join a pivotal role that shapes data integrity across innovative projects.
- Qualifications: Hands-on experience with SQL Server, Azure Data Factory, and data migration.
- Other info: Exciting environment with potential for career advancement.
The predicted salary is between 42000 - 84000 £ per year.
A technology services company based in Greater London is seeking candidates with hands-on experience in data validation and ETL testing. The ideal individual will possess strong knowledge of Microsoft SQL Server and understanding of Azure Data Factory, along with experience in data migration and using Microsoft Fabric with Lakehouse architecture. This role is crucial for ensuring data quality across various databases and data warehouses.
Data Validation & ETL Lead — ADF, Lakehouse, Power BI employer: TESTQ Technologies Limited
Contact Detail:
TESTQ Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Validation & ETL Lead — ADF, Lakehouse, Power BI
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Validation & ETL Lead role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with Microsoft SQL Server, Azure Data Factory, and Power BI. We want to see how you’ve tackled data validation and ETL testing in real-world scenarios.
✨Tip Number 3
Prepare for the interview by brushing up on common questions related to data migration and Lakehouse architecture. We suggest practising your answers with a friend or even in front of the mirror to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Validation & ETL Lead — ADF, Lakehouse, Power BI
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on experience with data validation and ETL testing in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your knowledge of Microsoft SQL Server and Azure Data Factory!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your experience with data migration and using Microsoft Fabric with Lakehouse architecture. This will help us see that you’re the perfect fit for our team!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and qualifications. Remember, clarity is key!
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 don’t miss out on any important updates. Let’s make this happen together!
How to prepare for a job interview at TESTQ Technologies Limited
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft SQL Server, Azure Data Factory, and Lakehouse architecture. Be ready to discuss specific projects where you've used these technologies, as this will show your hands-on experience and understanding.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to data validation and ETL testing. Think of examples from your past work where you successfully ensured data quality or handled data migration challenges, and be prepared to explain your thought process.
✨Showcase Your Analytical Skills
Since this role is crucial for ensuring data quality, highlight your analytical skills during the interview. Discuss how you approach data validation and what methods you use to identify and resolve issues in data sets.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions about the company’s data processes and tools. This shows your genuine interest in the role and helps you understand how you can contribute to their success.