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- Tasks: Join our team to test data ingestion and transformation processes in a new Data Lake.
- Company: Be part of an established Insurance firm located in Central London.
- Benefits: Enjoy a hybrid work model with up to £65,000 salary plus benefits.
- Why this job: This role offers hands-on experience with cutting-edge technology and a collaborative culture.
- Qualifications: Experience in ETL testing with C# or Python, and knowledge of SQL and AWS is essential.
- Other info: This position does not offer sponsorship; applicants must have the right to work in the UK.
The predicted salary is between 39000 - 91000 £ per year.
QA Engineer – ETL Testing. QA | Automation Testing | Data Lake | Python or C# | AWS | Data Lake Salary: Up to £65,000 + Benefits Location: Hybrid – in the London office 2 days per week Additional Information: Unfortunately we are unable to offer sponsorship for this role. Bonus Points: Please highlight on your profile where you have done ETL testing on data lakes. Senior QA Engineer required by an established Insurance firm in Central London. They have recently implemented a new Data Lake and a large focus of your work will be testing data ingestion and transformation processes. Successful applicants will have demonstrable experience testing Data Lakes using C# or Python. QA Engineers must have recent commercial experience working with either C# or Python. You will have good knowledge of SQL and AWS (specifically s3, Glue jobs, Step Functions, Cloudwatch logs for validation purpose.) QA Engineer Requirements:
QA Engineer - ETL Testing employer: Wilson Brown
Contact Detail:
Wilson Brown Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land QA Engineer - ETL Testing
✨Tip Number 1
Make sure to showcase your experience with ETL testing on data lakes prominently in your profile. Highlight specific projects where you tested data ingestion and transformation processes, as this is a key focus for us.
✨Tip Number 2
Familiarize yourself with the tools and technologies mentioned in the job description, especially AWS services like S3, Glue, and Step Functions. Being able to discuss your hands-on experience with these tools will set you apart from other candidates.
✨Tip Number 3
If you have experience with both C# and Python, be prepared to discuss how you've used each language in your QA processes. We value versatility, so demonstrating your proficiency in both can give you an edge.
✨Tip Number 4
Network with current or former employees of our company on platforms like LinkedIn. Engaging with them can provide you with insights into our work culture and expectations, which can be beneficial during the interview process.
We think you need these skills to ace QA Engineer - ETL Testing
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with ETL testing, especially in relation to data lakes. Clearly outline any projects where you've tested data ingestion and transformation processes.
Showcase Technical Skills: Detail your proficiency in C# or Python, as well as your knowledge of SQL and AWS services like S3, Glue jobs, and Step Functions. Use specific examples to demonstrate your skills.
Tailor Your CV: Customize your CV to align with the job description. Focus on relevant roles and responsibilities that match the requirements of the QA Engineer position.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are a great fit for this role. Mention your passion for quality assurance and how your background aligns with the company's needs.
How to prepare for a job interview at Wilson Brown
✨Showcase Your ETL Testing Experience
Make sure to highlight any specific projects where you've performed ETL testing on data lakes. Discuss the tools and methodologies you used, as this will demonstrate your hands-on experience and relevance to the role.
✨Demonstrate Your Technical Skills
Be prepared to discuss your proficiency in C# or Python, as well as your knowledge of SQL and AWS services like S3 and Glue. You might be asked technical questions or even given a coding challenge, so brush up on your skills beforehand.
✨Understand the Company’s Data Lake Implementation
Research the company’s recent implementation of their Data Lake. Understanding their specific use cases and challenges can help you tailor your responses and show that you're genuinely interested in their work.
✨Prepare Questions About the Role
Think of insightful questions to ask about the QA processes, team structure, and the technologies they use. This not only shows your interest but also helps you assess if the company is the right fit for you.
