Data Streaming Engineer (Redpanda/Kafka)
Job details
Job Title: Data Streaming Engineer (Redpanda/Kafka) at Simplia AI Startup REMOTE US SHIFT Join Simplia—A Cutting-Edge AI Startup—as a Data Streaming Engineer! Are you a talented Data Streaming Engineer with hands-on experience in Redpanda, the modern streaming data platform? Simplia, a hot AI startup in the USA, is seeking a skilled professional to join our dynamic team. If you're passionate about setting up and maintaining complex streaming networks with schema translations, we want to hear from you! As an initial screening process please fill up the form: What You'll Do:
- Design, set up, and maintain complex data streaming architectures using Redpanda
- Implement schema translations to ensure seamless data flow across various platforms
- Optimize streaming networks for performance, reliability, and scalability
- Collaborate with cross-functional teams to integrate streaming solutions with AI applications
- Monitor and troubleshoot streaming pipelines to ensure data integrity and availability
- Competitive salary with performance-based incentives
- Opportunity to work with cutting-edge AI and data streaming technologies
- A dynamic, collaborative, and innovative work environment
- Professional growth and advancement opportunities within the company
- Flexibility and autonomy in your role
- Proven experience with Redpanda or Kafka or similar streaming data platforms
- Strong knowledge of data streaming architectures and schema translations
- Proficiency in programming languages such as Java, Python, or Scala
- Experience with real-time data processing and integration
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration abilities
- Be part of an AI startup that's making a significant impact in the industry
- Work on challenging projects that push the boundaries of technology
- Collaborate with a passionate team dedicated to innovation and success
- Contribute to products and solutions that transform how businesses operate
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