TCS hiring for Kafka Developer

Overview:

Key Responsibilities:

• Designing and developing Kafkabased solutions for realtime data processing.
• Setting up configuring and maintaining Kafka clusters for optimal performance.
• Integrating Kafka with various data sources and systems including microservices databases and streaming platforms.
• Developing and implementing Kafka Producers and Consumers to efficiently handle data ingestion and consumption.
• Monitoring Kafka cluster performance and ensuring high availability and fault tolerance.
• Participating in code reviews and providing technical guidance to team members on Kafka best practices.
• Collaborating with crossfunctional teams to understand data requirements and develop scalable Kafka solutions to meet those needs.
• Identifying and resolving performance bottlenecks and other technical issues within the Kafka ecosystem.
• Implementing security measures and access controls to protect sensitive data within Kafka.
• Documenting Kafka architecture processes and procedures for knowledge sharing and future reference.
• Participating in the evaluation and selection of new Kafkarelated technologies and tools to enhance the existing ecosystem.
• Supporting testing and deployment activities related to Kafkabased solutions.
• Providing ongoing support and troubleshooting for Kafkarelated issues and incidents.
• Staying updated with the latest developments in Kafka and related technologies to drive continuous improvement.

Required Qualifications:

• Bachelors degree in Computer Science Information Technology or a related field.
• Proven experience in designing and building Kafkabased solutions in a largescale enterprise environment.
• Proficiency in Java programming for developing Kafka applications and integrations.
• Strong understanding of microservices architecture and its interaction with Kafka.
• Expertise in SQL and database technologies for data manipulation and integration with Kafka.
• Experience in implementing RESTful APIs for data exchange and interaction with Kafka.
• Indepth knowledge of Kafka internals including topics partitions brokers and consumer groups.
• Solid understanding of Kafka performance tuning monitoring and troubleshooting.
• Experience with implementing security and governance controls within Kafka including SSL ACLs and encryption.
• Excellent problemsolving skills and the ability to analyze and resolve complex Kafkarelated issues.
• Strong communication and collaboration skills for effectively working with crossfunctional teams and stakeholders.
• Ability to thrive in a fastpaced dynamic environment and deliver highquality results within tight deadlines.
• Relevant certifications in Kafka and related technologies would be a plus.
• Experience with streaming platforms such as Apache Flink or Spark Streaming would be an advantage.
• Knowledge of eventdriven architecture and event sourcing patterns is desirable.

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