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- Tasks: Design and implement scalable, real-time data processing systems using Kafka.
- Company: Join a dynamic team in Leeds, focused on cutting-edge data solutions.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be at the forefront of technology, shaping real-time data architecture with a collaborative culture.
- Qualifications: Extensive experience with Apache Kafka and real-time architecture is essential.
- Other info: This is a contract role, perfect for tech-savvy individuals looking to make an impact.
The predicted salary is between 48000 - 72000 £ per year.
Role : Kafka Architect
Location : Leeds.UK
Job Type: Contract
For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on.
Job Description:
A Kafka Real-Time Architect is responsible for designing and implementing scalable, real time data processing systems in Kafka. This role involves architecting Kafka cluster, ensuring high availability, and integrating with other data processing tools and platforms.
- Designing and architecting scalable, real-time systems in Kafka.
- Configuring, deploying, and maintaining Kafka clusters to ensure high availability and scalability.
- Integrating Kafka with other data processing tools and platforms such as Kafka Streams, Kafka Connect, Spark Streaming Schema Registry, Flink and Beam.
- Collaborating with cross-functional teams to understand data requirements and design solutions that meet business needs.
- Implementing security measures to protect Kafka clusters and data streams.
- Monitoring Kafka performance and troubleshooting issues to ensure optimal performance.
- Providing technical guidance and support to development operations teams.
- Staying updated with the latest Kafka features, updates and industry practices.
Required Skills Experience :
- Extensive Experience with Apache Kafka and real-time architecture including event driven frameworks.
- Strong Knowledge of Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink and Beam.
- Experience with cloud platform such as GCP Pub/Sub.
- Excellent problem-solving skills.
Knowledge & Experience / Qualifications:
- Knowledge of Kafka data pipelines and messaging solutions to support critical business operations and enable real-time data processing.
- Monitoring Kafka performance, enhancing decision making and operational efficiency
- Collaborating with development teams to integrate Kafka applications and services.
- Maintain an architectural library for Kafka deployment models and patterns
- Helping developers to maintain Kafka connectors such as JDBC, MongoDB and S3 connectors, along with topics schemas, to streamline data ingestion from databases, NoSQL data stores and cloud storage, enabling faster data insight.
Kafka Architect employer: PURVIEW
Contact Detail:
PURVIEW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Kafka Architect
✨Tip Number 1
Familiarise yourself with the latest features and updates in Apache Kafka. Being well-versed in the most recent advancements will not only boost your confidence but also demonstrate your commitment to staying current in this rapidly evolving field.
✨Tip Number 2
Network with professionals in the Kafka community. Attend meetups, webinars, or online forums where you can connect with other Kafka enthusiasts. This can lead to valuable insights and potential referrals that could help you land the job.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've successfully implemented Kafka solutions. Be ready to share specific examples of how you've designed scalable systems or resolved performance issues, as this will showcase your practical experience.
✨Tip Number 4
Research StudySmarter's projects and values. Understanding our mission and how we utilise Kafka in our operations will allow you to tailor your discussions during interviews, showing that you're genuinely interested in contributing to our team.
We think you need these skills to ace Kafka Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience with Apache Kafka and real-time architecture. Include specific projects where you've designed and implemented scalable data processing systems, as well as any relevant tools like Kafka Streams or Spark Streaming.
Craft a Strong Cover Letter: In your cover letter, emphasise your problem-solving skills and your ability to collaborate with cross-functional teams. Mention how you stay updated with the latest Kafka features and industry practices, and provide examples of how you've integrated Kafka with other data processing tools.
Showcase Relevant Projects: If you have worked on projects involving Kafka clusters, cloud platforms like GCP Pub/Sub, or have experience with monitoring Kafka performance, make sure to include these details. Highlight your role in these projects and the impact they had on business operations.
Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for a technical role like Kafka Architect.
How to prepare for a job interview at PURVIEW
✨Showcase Your Kafka Expertise
Be prepared to discuss your extensive experience with Apache Kafka and real-time architecture. Highlight specific projects where you've designed and implemented scalable systems, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
Expect to encounter scenario-based questions that test your problem-solving abilities. Think of examples from your past work where you successfully monitored Kafka performance or troubleshot issues, and articulate your thought process clearly.
✨Familiarise Yourself with Integration Tools
Since the role involves integrating Kafka with various data processing tools, brush up on your knowledge of Kafka Streams, Kafka Connect, and other relevant technologies like Spark Streaming and Flink. Be ready to discuss how you've used these tools in previous roles.
✨Stay Updated on Industry Practices
The interviewer may ask about the latest Kafka features and industry practices. Make sure to research recent updates and trends in the Kafka ecosystem, and be prepared to share your insights on how these can benefit the organisation.
