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Data Platform Engineer

Implement data processing pipelines using Kafka for real-time data streaming.
Senior
3 weeks ago

✨ About The Role

- As a Data Platform Engineer, you will be responsible for designing, developing, and maintaining big data architecture. - You will implement data processing pipelines using Kafka for real-time data streaming. - The role involves optimizing and managing search capabilities using Elastic technologies. - Collaboration with product managers, data analysts, and other stakeholders is key to gathering requirements and translating them into technical specifications. - You will oversee code reviews and ensure best practices in coding and data handling.

âš¡ Requirements

- The ideal candidate will have a Bachelor's degree in Computer Science, Engineering, or a related field, with a Master's degree preferred. - A minimum of 5 years of experience in the software engineering field is required, with at least 3 years focused on big data technologies. - Proficiency in Java programming and experience with related frameworks is essential for success in this role. - Strong analytical skills and excellent problem-solving abilities are crucial for troubleshooting and optimizing data systems. - A solid understanding of CI/CD principles and experience working with APIs and SDKs will be beneficial.
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Data Platform Engineer
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