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- Tasks: Design and develop scalable data solutions on AWS, collaborating with cross-functional teams.
- Company: Dynamic tech consulting firm in Guildford with a focus on innovation.
- Benefits: Flexible hybrid work arrangements and opportunities for professional growth.
- Other info: Exciting projects and a supportive environment for career advancement.
- Why this job: Join a team that values your skills and helps you make an impact in data engineering.
- Qualifications: Bachelor's degree and proven experience with AWS services required.
The predicted salary is between 50000 - 60000 £ per year.
A tech consulting firm in Guildford is seeking an experienced AWS Cloud Developer with data engineering skills to design, develop, and maintain scalable data solutions on the AWS platform. You will collaborate with cross-functional teams, implement data pipelines and manage data storage solutions, optimizing performance and ensuring data integrity.
A Bachelor's degree in a related field and proven experience in AWS services are essential. This is a hybrid role, offering flexibility in work arrangements.
AWS Cloud Data Engineer — Build Scalable Pipelines in Surrey employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Cloud Data Engineer — Build Scalable Pipelines in Surrey
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AWS. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects on AWS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AWS scenarios and data pipeline challenges. Practising your problem-solving skills will help you shine when it comes to technical questions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to stay updated on new roles that match your skills.
We think you need these skills to ace AWS Cloud Data Engineer — Build Scalable Pipelines in Surrey
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS services and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Technical Skills: When filling out your application, be specific about your technical skills. Mention the AWS tools and technologies you’ve worked with, and any experience you have in building scalable data pipelines. We’re keen to know what you bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at N Consulting Limited
✨Know Your AWS Services
Make sure you brush up on your knowledge of AWS services relevant to data engineering, like S3, Redshift, and Lambda. Be ready to discuss how you've used these tools in past projects and how they can be applied to build scalable data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you overcame them. This could involve optimising performance or ensuring data integrity. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand the Company’s Needs
Research the tech consulting firm and understand their projects and clients. Tailor your responses to show how your skills align with their goals, especially in designing and maintaining scalable data solutions on AWS.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and their approach to data management. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.