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For Companies At a Glance
- Tasks: Design and implement real-time data pipelines and ensure data quality.
- Company: Join a cutting-edge tech company focused on innovative data solutions.
- Benefits: Enjoy flexible working options and a collaborative team environment.
- Why this job: Be part of a dynamic team shaping the future of data engineering.
- Qualifications: 3+ years in data engineering with strong skills in Python, Java, or Scala.
- Other info: Opportunity to work with advanced technologies like Kafka and cloud platforms.
The predicted salary is between 43200 - 72000 £ per year.
Key Responsibilities
- Design and implement real-time data pipelines using tools like Apache Kafka, Apache Flink, or Spark Streaming.
- Develop and maintain event schemas using Avro, Protobuf, or JSON Schema.
- Collaborate with backend teams to integrate event-driven microservices.
- Ensure data quality, lineage, and observability across streaming systems.
- Optimize performance and scalability of streaming applications.
- Implement CI/CD pipelines for data infrastructure.
- Monitor and troubleshoot production data flows and streaming jobs.
Required Skills & Qualifications
- 3+ years of experience in data engineering or backend development.
- Strong programming skills in Python, Java, or Scala.
- Hands-on experience with Kafka, Kinesis, or similar messaging systems.
- Familiarity with stream processing frameworks like Flink, Kafka Streams, or Spark Structured Streaming.
- Solid understanding of event-driven design patterns (e.g., event sourcing, CQRS).
- Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools.
- Knowledge of data modeling, schema evolution, and serialization formats.
GCP Data Engineer employer: Response Informatics
Contact Detail:
Response Informatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Apache Kafka and Spark Streaming. Consider building a small project or contributing to open-source projects that utilise these technologies to showcase your hands-on experience.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with GCP. Attend meetups or webinars focused on cloud data solutions to gain insights and potentially make connections that could lead to referrals.
✨Tip Number 3
Stay updated on the latest trends and best practices in event-driven architecture and stream processing. Follow relevant blogs, podcasts, or online courses to deepen your understanding and be prepared to discuss these topics during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to data engineering. Focus on problems that involve real-time data processing and optimisation, as these are likely to come up given the role's responsibilities.
We think you need these skills to ace GCP Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and backend development. Emphasise your programming skills in Python, Java, or Scala, and include any hands-on experience with tools like Kafka or Flink.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about data engineering and how your skills align with the responsibilities of the GCP Data Engineer role. Mention specific projects where you've designed real-time data pipelines or optimised streaming applications.
Showcase Relevant Projects: If you have worked on projects involving event-driven microservices or CI/CD pipelines for data infrastructure, be sure to include these in your application. Use bullet points to clearly outline your contributions and the technologies used.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to cloud platforms (like GCP) or stream processing frameworks. This shows your commitment to staying updated in the field and enhances your application.
How to prepare for a job interview at Response Informatics
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data engineering tools and frameworks like Apache Kafka, Flink, or Spark Streaming. Highlight specific projects where you've implemented real-time data pipelines and be ready to explain the challenges you faced and how you overcame them.
✨Understand Event-Driven Architecture
Familiarise yourself with event-driven design patterns such as event sourcing and CQRS. Be ready to discuss how these concepts apply to the role and provide examples of how you've used them in past projects.
✨Demonstrate Problem-Solving Skills
Prepare for technical questions that assess your troubleshooting abilities. Think of scenarios where you've had to monitor and resolve issues in production data flows, and be ready to walk through your thought process during those situations.
✨Discuss CI/CD Experience
Since implementing CI/CD pipelines is a key responsibility, be sure to talk about your experience with automation in data infrastructure. Share specific tools you've used and how they improved your workflow or the overall performance of your projects.
