Job description
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
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.