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    Kafka Architect - Bangalore, India - ConnectPro Management Consultants Pvt Ltd.

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    Technology / Internet
    Description

    Work Location:
    Bangalore.

    Hybrid model - Working in office 3 days in a week.

    Experience : 8+ Years.

    We are looking for a Kafka Architect who can Work alongside multiple Production Support, Development, System Admin, Project Managers and Engineering teams.


    Key Responsibilities:

    • Design, deploy, and manage Kafka clusters in a production environment, ensuring high availability, scalability, and reliability.
    • Collaborate with engineering teams to understand data processing requirements and design Kafka solutions that meet their needs.
    • Optimize Kafka configurations and performance to ensure efficient utilization of resources and low latency data processing.
    • Develop and maintain Kafkarelated tools, utilities, and automation scripts to streamline deployment, monitoring, and management tasks.
    • Provide guidance and best practices to engineering teams on Kafka usage, data modelling, and integration patterns.
    • Work closely with operations teams to monitor Kafka clusters, troubleshoot issues, and perform capacity planning.
    • Stay updated with the latest Kafka features, enhancements, and best practices, and evaluate their applicability to our environment.

    Technical Skill You Should Have:

    • Indepth understanding of Kafka architecture, including brokers, topics, partitions, producers, consumers, and replication.
    • Knowledge of Kafka distributed nature, fault tolerance, scalability and high availability.
    • Experience with streaming data processing frameworks like Apache Flink, Apache Spark Streaming, or Kafka Streams.
    • Knowledge of Kafka integration pattern and best practises for integration with various data source.
    • Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
    • Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
    • Relevant certifications such as Confluent Certified Developer or Confluent Certified Administrator.
    • Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
    • Very good knowledge in database technology for both NoSQL DB and SQL DB.
    • Working experience with inmemory DB such as Couchbase would be an advantage.
    • Establish scalable implementation of data management framework, platform and tools stack.
    • Good knowledge to develop, implement and managing BAU operational process for data quality functionality and capability such as Data Quality Statistics, Data Quality Scorecards, Data Quality Analysis and Workflows Design.
    )

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