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  • Software Engineer - Ranchi - RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)

    Description

    Software Engineer

    Experience with Kafka: 6 Years

    Required Skills: Proficiency in .Net or Python, Expertise in Kafka and Grafana.

    Duration: 4-6 Months, Work Arrangement: Hybrid/Remote

    Job Description

    We are seeking a skilled Software Engineer to design and implement efficient data pipelines using Apache Kafka. The ideal candidate will have strong understanding of Kafka architecture, experience with distributed systems, and proficiency in either .Net or Python.

    The selected individual will be responsible for creating Kafka producer and consumer applications, optimizing Kafka clusters for performance, scalability, and reliability, and designing Grafana dashboards for monitoring Kafka metrics. They will also integrate Grafana with Elasticsearch or other data sources, set up alerting mechanisms for system health monitoring, and collaborate with DevOps, data engineers, and software teams to ensure security and compliance.

    Key Responsibilities

    • Design and implement Kafka-based data pipelines for real-time processing
    • Implement Kafka producer and consumer applications for efficient data flow
    • Optimize Kafka clusters for performance, scalability, and reliability
    • Design and manage Grafana dashboards for monitoring Kafka metrics
    • Integrate Grafana with Elasticsearch or other data sources
    • Set up alerting mechanisms in Grafana for Kafka system health monitoring
    • Collaborate with DevOps, data engineers, and software teams
    • Ensure security and compliance in Kafka and Grafana implementations

    Requirements

    To be successful in this role, you should have:

    • 8+ years of experience in configuring Kafka, Elastic Search, and Grafana
    • Strong understanding of Apache Kafka architecture and Grafana visualization
    • Proficiency in .Net or Python for Kafka development
    • Experience with distributed systems and message-oriented middleware
    • Knowledge of time-series databases and monitoring tools
    • Familiarity with data serialization formats like JSON
    • Expertise in Azure platforms and Kafka monitoring tools
    • Good problem-solving and communication skills

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