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- Aufgaben: Join us to enhance real-time customer targeting and develop features for streaming databases.
- Arbeitgeber: We're a leading player in the Media and Entertainment industry, driving innovation.
- Mitarbeitervorteile: Enjoy competitive pay, flexible work options, and a vibrant company culture.
- Warum dieser Job: Be part of a dynamic team shaping the future of data engineering in entertainment.
- Gewünschte Qualifikationen: 8+ years in Java or Go, with expertise in Kafka and distributed systems required.
- Andere Informationen: Collaborate with stakeholders and developers to design impactful services.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
Job Brief:
Client : Media and Entertainment
We are seeking an experienced Senior Data Engineer with a strong background in Kafka, distributed systems, and data structures. In this role, you will collaborate with stakeholders to enhance real-time customer targeting and develop new features for our internal streaming databases. Additionally, you will work on improving resource utilization across all stages of data pipelines.
Requirements:
- Proficiency in Java or Go programming languages (8+ years).
- Significant experience with Kafkafor data processing.
- Collaborative design of services with stakeholders and developers.
- Experience in the entire software development lifecycle.
- Strong background in distributed, event-driven systems.
- Handling of high-dimensional, high-cardinality data.
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Senior Data Engineer Arbeitgeber: Disruptive DataTech
Kontaktperson:
Disruptive DataTech HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Engineer
✨Tip Number 1
Make sure to showcase your experience with Kafka and distributed systems in your conversations. Be ready to discuss specific projects where you've implemented these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Prepare to talk about your collaborative experiences with stakeholders. Highlight instances where you successfully designed services or features by working closely with both technical and non-technical team members.
✨Tip Number 3
Familiarize yourself with the latest trends in data processing and resource utilization. Being able to discuss current best practices and innovations in the field will show that you're proactive and knowledgeable.
✨Tip Number 4
Since the role involves handling high-dimensional data, be prepared to explain your approach to managing and optimizing such data sets. Share any relevant experiences that highlight your problem-solving skills in this area.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Engineer
Tipps für deine Bewerbung 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with Kafka, distributed systems, and data structures in your CV and cover letter. Provide specific examples of projects where you utilized these skills.
Showcase Programming Proficiency: Clearly state your proficiency in Java or Go, detailing your years of experience and any significant projects you've worked on. This will demonstrate your capability for the role.
Collaborative Projects: Mention any collaborative projects you've been involved in, especially those that required working closely with stakeholders and developers. This shows your ability to work in a team-oriented environment.
Tailor Your Application: Customize your application materials to align with the job description. Use keywords from the job posting to ensure your application resonates with the hiring team.
Wie du dich auf ein Vorstellungsgespräch bei Disruptive DataTech vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Kafka and distributed systems in detail. Highlight specific projects where you've implemented these technologies, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Collaboration Skills
Since this role involves working closely with stakeholders, be ready to share examples of how you've successfully collaborated with others in previous roles. Discuss how you gather requirements and incorporate feedback into your work.
✨Discuss Your Approach to Data Pipelines
Prepare to explain your strategies for improving resource utilization across data pipelines. Share any metrics or results from past experiences that demonstrate your ability to optimize performance.
✨Highlight Your Programming Proficiency
Make sure to emphasize your proficiency in Java or Go. Be ready to discuss specific coding challenges you've tackled and how your programming skills have contributed to successful project outcomes.
