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- Tasks: Design and implement high-quality data solutions using Apache Flink on AWS.
- Company: Leading technology consulting firm with a focus on innovation.
- Benefits: Competitive contract pay and the chance to work with cutting-edge technologies.
- Why this job: Join a dynamic team and enhance your skills in data engineering and analytics.
- Qualifications: Expertise in Apache Flink, AWS, and CI/CD practices required.
- Other info: Short-term contract with potential for future opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology consulting firm is looking for a Senior Streaming Data Engineer to work on a contract basis for 2-3 months. The ideal candidate should possess strong expertise in Managed Service for Apache Flink, data analytics, and various AWS technologies such as Amazon Redshift and MSK. This role focuses on delivering high-quality data solutions using CI/CD practices. Candidates with machine learning skills and Kiro IDE usage will be preferred.
Senior Streaming Data Engineer - Flink on AWS (2-3m Contract) employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Streaming Data Engineer - Flink on AWS (2-3m Contract)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AWS and data engineering. A personal recommendation can make all the difference in landing that contract.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects related to Apache Flink and AWS. This gives potential employers a tangible look at what you can do.
✨Tip Number 3
Ace the interview! Brush up on your technical knowledge and be ready to discuss your experience with CI/CD practices and data analytics. Practice common interview questions to boost your confidence.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities, and applying directly can give you an edge. Plus, it’s super easy to keep track of your applications with us.
We think you need these skills to ace Senior Streaming Data Engineer - Flink on AWS (2-3m Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Apache Flink and AWS technologies. 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 the perfect fit for this Senior Streaming Data Engineer role. Mention your expertise in data analytics and CI/CD practices to grab our attention.
Showcase Your Projects: If you've worked on any cool projects involving streaming data or machine learning, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to the job description.
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 from us!
How to prepare for a job interview at N Consulting Limited
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Managed Service for Apache Flink and AWS technologies like Amazon Redshift and MSK. Be ready to discuss how you've used these tools in past projects, as this will show your expertise and confidence.
✨Showcase Your CI/CD Experience
Since the role focuses on delivering high-quality data solutions using CI/CD practices, be prepared to share specific examples of how you've implemented CI/CD in your previous work. Highlight any challenges you faced and how you overcame them.
✨Machine Learning Skills Matter
If you have machine learning experience, don’t hold back! Discuss any relevant projects or applications where you've integrated machine learning with data engineering. This could set you apart from other candidates.
✨Familiarise Yourself with Kiro IDE
If you’ve used Kiro IDE, make sure to mention it during the interview. If not, take some time to learn about it beforehand. Showing that you’re proactive about learning new tools can impress the interviewers.
