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Kafka Consultant

Lynxmind
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Kafka Consultant

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Job Openings Kafka Consultant

About the job Kafka Consultant

Technical expertise

  • Strong understanding of Apache Kafka architecture, components, and concepts such as brokers, topics, partitions, producers, and consumers.
  • Experience with Kafka Streams, Kafka Connect, and KSQL.
  • Familiarity with different Kafka APIs, such as the Producer API, Consumer API, and Streams API.
  • Knowledge of Kafka performance tuning, monitoring, and troubleshooting.

Related technologies

  • Proficiency in programming languages like Java, Scala, or Python.
  • Familiarity with message-based systems, such as RabbitMQ, ActiveMQ, or AWS Kinesis.
  • Experience with big data technologies like Hadoop, Spark, and Flink.
  • Knowledge of data storage solutions, such as relational databases, NoSQL databases, and data warehouses.

System design and architecture

  • Ability to design and implement scalable, fault-tolerant, and high-performance distributed systems.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
  • Understanding of containerization technologies, such as Docker and Kubernetes.

Communication and collaboration

  • Strong communication skills to convey complex technical concepts to non-technical stakeholders.
  • Ability to work effectively with cross-functional teams, including developers, data engineers, and data scientists.
  • Experience in project management and working with agile methodologies.

Problem-solving and analytical skills

  • Ability to analyze and diagnose complex issues in Kafka deployments.
  • Strong problem-solving skills to develop innovative solutions to technical challenges.

Certifications (Advantage)

  • Confluent Certified Developer for Apache Kafka
  • Confluent Certified Administrator for Apache Kafka

For more details contact us at recruitment@lynxmind.com

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Skills

  • Kafka
  • Kafka Streams
  • Kafka Connect
  • Java
  • Scala
  • Python
  • RabbitMQ
  • ActiveMQ
  • AWS Kinesis
  • Hadoop
  • Spark
  • Flink
  • AWS
  • Azure
  • GCP
  • Docker
  • Kubernetes
  • Confluent

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