Kafka Architect
2 months ago
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 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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