Kafka Architect

1 week ago

Bangalore Urban, India Connectpro Management Consultants Private Limited Full time

Location- Bangalore

Years of experience - 8 to 15 Years

Qualification - B.Tech / MCA


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 Kafka-related 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:

  • In-depth 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 in-memory 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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