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Data Infrastructure Engineer for Real-Time Systems

Deeter Analyticsinternational
Remote Full-time

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Experience Level

Entry Level

Qualifications

The ideal candidate will possess:A strong background in data infrastructure design and implementation. Experience with real-time processing frameworks such as Apache Kafka or Apache Flink. Proficiency in programming languages like Python, Java, or Scala. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Strong analytical and problem-solving skills. A Bachelor's Degree in Computer Science, Data Engineering, or a related field is preferred.

About the job

Join Deeter Analytics as a Data Infrastructure Engineer specializing in Real-Time Systems. In this role, you will play a pivotal part in designing and implementing robust data infrastructures that support real-time analytics and decision-making processes. You will collaborate with cross-functional teams to optimize data flows, ensuring high availability and performance while maintaining data integrity.

About Deeter Analytics

Deeter Analytics is at the forefront of delivering innovative data solutions that empower organizations to harness the full potential of their data. Our team is dedicated to driving excellence in data analytics and infrastructure, ensuring our clients achieve their strategic objectives through informed decision-making.

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