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- Tasks: Develop and maintain a high-scale data platform using Java microservices and Apache Spark.
- Company: Join a global leader in cybersecurity with a focus on innovation.
- Benefits: Enjoy a competitive benefits package and a commitment to employee wellness.
- Why this job: Make an impact in cybersecurity while working with cutting-edge data technologies.
- Qualifications: Extensive experience in backend development and data engineering, especially with Spark or Flink.
- Other info: Hybrid position based in London with great career growth potential.
The predicted salary is between 48000 - 72000 £ per year.
A global cybersecurity leader is seeking a Senior Data Engineer to develop and maintain a high-scale data platform, focusing on Java microservices and Apache Spark. The role involves designing solutions for data querying and contributing to feature development. Candidates should have extensive experience in backend development and data engineering, particularly with Spark or Flink. This hybrid position is based in London, offering a competitive benefits package and a commitment to employee wellness.
Senior Data Platform Eng: Graph DB & Scalable Pipelines in London employer: CrowdStrike Holdings, Inc.
Contact Detail:
CrowdStrike Holdings, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Eng: Graph DB & Scalable Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with data platforms or cybersecurity. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Java microservices and Apache Spark. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with backend development and data engineering. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings and it’s a great way to get noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Platform Eng: Graph DB & Scalable Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Java microservices and Apache Spark. 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 your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions!
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’re considered for this exciting opportunity with StudySmarter!
How to prepare for a job interview at CrowdStrike Holdings, Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in Java microservices and Apache Spark. Brush up on your knowledge of these technologies, as you’ll likely be asked to discuss your experience with them in detail. Prepare examples of projects where you've successfully implemented these tools.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios or case studies during the interview. Think about how you would design solutions for data querying or handle scalability issues. Practising these types of questions can help you articulate your thought process clearly.
✨Highlight Your Backend Development Experience
Since the role focuses on backend development, come prepared to discuss your previous work in this area. Share specific examples of challenges you faced and how you overcame them, especially in relation to data engineering and pipeline development.
✨Emphasise Team Collaboration
This position involves contributing to feature development, so it’s important to demonstrate your ability to work well in a team. Be ready to talk about how you’ve collaborated with others in past roles, particularly in cross-functional teams, to achieve common goals.
