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- Tasks: Design and develop robust data pipelines and implement ETL processes.
- Company: Leading UK technology firm with a focus on innovation.
- Benefits: Positive work-life balance, training opportunities, and competitive salary.
- Why this job: Join a dynamic team and innovate in cloud data solutions.
- Qualifications: Proficiency in AWS tools and programming languages like Python and Java.
- Other info: Hybrid role with excellent career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm based in the UK is seeking an AWS Data Engineer to join their Cloud Data Platforms team. In this hybrid role, you'll be responsible for designing and developing robust data pipelines, implementing ETL processes, and adopting DevOps practices.
The ideal candidate has strong proficiency with AWS tools and programming languages like Python and Java. The firm emphasizes a positive work-life balance, training opportunities, and innovation in data solutions.
AWS Data Engineer: Hybrid Cloud Pipelines & ETL Expert in Bristol employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer: Hybrid Cloud Pipelines & ETL Expert in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at the company. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects, data pipelines, and any ETL processes you've implemented. This gives potential employers a tangible look at what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and Java skills. Be ready to discuss how you've used these languages in past projects, especially in relation to AWS tools and DevOps practices.
✨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 engage with us directly.
We think you need these skills to ace AWS Data Engineer: Hybrid Cloud Pipelines & ETL Expert in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS tools and programming languages like Python and Java. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 Cloud Data Platforms team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool data pipelines or ETL processes, make sure to mention them in your application. We’re keen to see real examples of your work and how you’ve implemented DevOps practices in your projects.
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 Capgemini
✨Know Your AWS Tools Inside Out
Make sure you’re well-versed in the specific AWS tools mentioned in the job description. Brush up on services like AWS Lambda, S3, and Redshift, and be ready to discuss how you've used them in past projects.
✨Showcase Your ETL Expertise
Prepare to talk about your experience with ETL processes. Have examples ready that demonstrate your ability to design and implement efficient data pipelines, and be prepared to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Programming Skills
Since proficiency in Python and Java is key, be ready to discuss your coding experience. You might even want to prepare a small coding challenge or example project to showcase your skills during the interview.
✨Emphasise Your DevOps Knowledge
This role involves adopting DevOps practices, so highlight any relevant experience you have. Discuss how you’ve integrated development and operations in your previous roles, and be ready to share your thoughts on best practices in this area.
