The hiring company is developing digital & data platforms providing seamless services for financial services industries.about the job.
Design, deploy, and manage Kafka clusters and related components to support high-volume, low-latency data streaming applications.
Collaborate with cross-functional teams to understand requirements and architect scalable and efficient Kafka solutions.
Monitor and fine-tune Kafka performance, ensuring optimal throughput and latency for data ingestion and consumption.
Develop and implement Kafka connectors, stream processing applications, and data pipelines to integrate with various data sources and downstream systems
Troubleshoot and resolve issues related to Kafka clusters, ensuring minimal downtime and disruption to data streams.
Collaborate with DevOps and infrastructure teams to automate deployment, monitoring, and maintenance of Kafka infrastructure.
skills & experiences required.
Bachelor's degree in Computer Science, Engineering, or a related field.
Min 4 years of experience in designing, deploying, and managing Kafka clusters in a production environment.
Proficiency in Kafka ecosystem components, such as Kafka Connect, Kafka Streams, and Schema Registry.
Strong understanding of distributed systems and experience with cluster management and monitoring tools.
Proficient in programming languages like Java or Scala for developing Kafka applications.
Experience with stream processing frameworks such as Apache Flink or Apache Spark is a plus.
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
Excellent problem-solving and troubleshooting skills, with a focus on system performance and reliability.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
show more
about the company. The hiring company is developing digital & data platforms providing seamless services for financial services industries.
about the job.
Design, deploy, and manage Kafka clusters and related components to support high-volume, low-latency data streaming applications.
Collaborate with cross-functional teams to understand requirements and architect scalable and efficient Kafka solutions.
Monitor and fine-tune Kafka performance, ensuring optimal throughput and latency for data ingestion and consumption.
Develop and implement Kafka connectors, stream processing applications, and data pipelines to integrate with various data sources and downstream systems
Troubleshoot and resolve issues related to Kafka clusters, ensuring minimal downtime and disruption to data streams.
Collaborate with DevOps and infrastructure teams to automate deployment, monitoring, and maintenance of Kafka infrastructure.
...
skills & experiences required.
Bachelor's degree in Computer Science, Engineering, or a related field.
Min 4 years of experience in designing, deploying, and managing Kafka clusters in a production environment.
Proficiency in Kafka ecosystem components, such as Kafka Connect, Kafka Streams, and Schema Registry.
Strong understanding of distributed systems and experience with cluster management and monitoring tools.
Proficient in programming languages like Java or Scala for developing Kafka applications.
Experience with stream processing frameworks such as Apache Flink or Apache Spark is a plus.
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
Excellent problem-solving and troubleshooting skills, with a focus on system performance and reliability.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
show more
experience
5 years
skills
no additional skills required
qualifications
no additional qualifications required
education
Bachelor Degree
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compliance check.
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