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We are looking for an experienced Confluent Kafka Developer with strong expertise in Java, Apache Kafka, Confluent Platform, and custom Kafka Connect plugin development. The ideal candidate will be responsible for designing, developing, and maintaining scalable, reliable, and high-performance data streaming solutions.

The candidate should have expert-level Java programming skills, hands-on experience with Confluent Kafka and custom connector development, and knowledge of KSQL or ksqlDB. Experience with Apache Flink and real-time stream processing will be an added advantage.

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- Design, develop, and maintain real-time data streaming applications using Apache Kafka and Confluent Platform.
- Develop robust, scalable, and high-performance Java-based applications and services.
- Design and implement custom Confluent Kafka Connect plugins, including source and sink connectors.
- Build integrations between Kafka and external systems such as databases, APIs, enterprise applications, and data platforms.
- Configure and manage Kafka topics, partitions, consumer groups, offsets, and message-processing workflows.
- Develop real-time data transformations and streaming queries using KSQL or ksqlDB.
- Implement error handling, retries, dead-letter queues, and fault-tolerance mechanisms for reliable data processing.
- Optimize application performance, throughput, latency, resource utilization, and message-processing efficiency.
- Work with Schema Registry and serialization formats such as Avro, JSON Schema, and Protobuf.
- Troubleshoot and resolve issues related to Kafka connectivity,



connector failures, data consistency, and streaming pipelines.
- Write clean, maintainable, reusable, and testable code following established engineering standards.
- Collaborate with architects, technical leads, QA engineers, and DevOps teams to deliver reliable solutions.
- Participate in code reviews, unit testing, integration testing, deployment, and production support.
- Work with Apache Flink for stream-processing requirements, where applicable.

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- Overall Experience: 8+ years of software development experience, preferably in Java development and data engineering.
- Java: Expert-level proficiency in Core Java, object-oriented programming, collections, concurrency, multithreading, exception handling, and performance optimization.
- Confluent Kafka: Strong hands-on experience with Apache Kafka and Confluent Platform.
- Custom Kafka Connect Plugin Development: Experience developing, configuring, testing, and deploying custom Kafka Connect source and sink connectors.
- KSQL / ksqlDB: Experience writing streaming queries, performing data transformations, filtering events, and processing streaming data.
- Kafka Fundamentals: Strong understanding of producers, consumers, brokers, topics, partitions, consumer groups, offsets, and delivery semantics.
- REST APIs & Integration:



Experience integrating streaming applications with external systems and enterprise services.
- Data Serialization: Knowledge of Avro, JSON, Protobuf, and Confluent Schema Registry.
- Testing & Debugging: Experience with unit testing, integration testing, troubleshooting, and production issue resolution.
- Version Control: Familiarity with Git and collaborative development workflows.
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- Hands-on experience with Apache Flink for real-time stream processing.
- Understanding of stateful stream processing, event-time processing, windowing, checkpointing, and fault tolerance in Flink.
- Experience with Kafka Streams or other stream-processing frameworks.
- Exposure to Docker, Kubernetes, CI/CD pipelines, and automated deployments.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of monitoring and observability tools for distributed applications.
- Experience working with relational and NoSQL databases.
- Preferred Candidate Profile
- Robust analytical and problem-solving skills.
- Ability to work independently on complex development and integration tasks.
- Good communication and collaboration skills.
- Ability to troubleshoot production issues and deliver solutions within agreed timelines.
- Strong focus on code quality, system reliability, and performance optimization.

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- Interested candidates with expert-level Java skills, strong Confluent Kafka expertise, and hands-on experience in custom Kafka Connect plugin development are encouraged to apply. Apache Flink experience will be an added advantage.

📌 Confluent Kafka & Apache Flink Developer | Noida | Onsite | 8+ YOE | Contract: 12 Months | Immediate Joiner
🏢 Codians.ai
📍 Noida