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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 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 opportunities.
The predicted salary is between 43200 - 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 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
✨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 or Apache Spark. 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 data engineering questions and scenarios. We recommend practising coding challenges related to backend development and data pipelines to boost your confidence.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Senior Data Platform Eng: Graph DB & Scalable Pipelines
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 will likely involve working closely with other teams. Be ready to talk about your experience collaborating with cross-functional teams and how you contribute to a positive team dynamic. Mention any tools or methodologies you’ve used to enhance teamwork.
