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- Tasks: Design and implement data pipelines using AWS Glue and Kafka.
- Company: Leading data solutions provider in the UK with a collaborative culture.
- Benefits: Competitive salary, career growth potential, and exciting projects.
- Why this job: Join a dynamic team and work on cutting-edge data solutions.
- Qualifications: 10 years of experience with AWS technologies and proficiency in Python/PySpark.
- Other info: Great opportunity for professional development in a thriving environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading data solutions provider in the United Kingdom is seeking a Senior Data Engineer to design and implement data pipelines on AWS. The ideal candidate will have approximately 10 years of experience and deep knowledge of AWS technologies such as Glue and Kafka, along with proficiency in Python/PySpark. This position offers the opportunity to work on cutting-edge projects within a collaborative environment and provides career growth potential along with a competitive salary package.
Senior Data Engineer — AWS Glue & Kafka Pipelines employer: VE3
Contact Detail:
VE3 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — AWS Glue & Kafka Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS Glue and Kafka. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects involving AWS technologies and Python/PySpark. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled challenges using AWS Glue and Kafka in your previous roles. We want to see your problem-solving skills in action!
✨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 are proactive about their job search.
We think you need these skills to ace Senior Data Engineer — AWS Glue & Kafka Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS Glue, Kafka, and Python/PySpark. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
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 your background makes you the perfect fit for our team. Let us know what excites you about working with cutting-edge technologies.
Showcase Your Problem-Solving Skills: In your application, include examples of challenges you've faced in previous roles and how you tackled them. We love seeing candidates who can think critically and come up with innovative solutions, especially in a collaborative environment like ours.
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. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at VE3
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS Glue and Kafka. Be ready to discuss how you've used these technologies in past projects, and think of specific examples that showcase your expertise. This will show the interviewers that you’re not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your Python Skills
Since proficiency in Python/PySpark is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practising common data engineering tasks in Python beforehand can give you a solid edge.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about challenges you've faced in previous roles and how you overcame them, especially in relation to data pipelines. This will help you illustrate your experience and critical thinking skills.
✨Emphasise Collaboration and Growth
This position values collaboration, so be prepared to discuss how you’ve worked in teams before. Share examples of how you’ve contributed to team success and how you’ve grown in your career. This will highlight your fit for the collaborative environment they’re looking for.
