[15h Left] Kafka Architect
2 days ago
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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