Kafka Developer

Job Title : Kafka Developer Location : Noida / Chennai / Pune

Education : B.E. / B.Tech.

Year of Experience : 8-10 Years

About us

At we are shaping the future of technology by designing cutting-edge software #products , platforms, and #digital experiences that drive business growth for our clients.

Our product mindset and advanced engineering capabilities in #Cloud , Data, #AI, and Customer Experience empower us to deliver innovative solutions to key players across the high-tech industry. This includes ISVs, SaaS, and Internet companies, as well as leading organizations in #telecom , #media , #healthcare , #finance , and #manufacturing .

We are in 10 countries where we have a full-time workforce - India, the USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia, and Thailand.

Mandatory Requirements :

A degree in Computer Science, IT, or a related field.

Kafka Expertise – Strong knowledge of Kafka architecture, brokers, producers, consumers, and stream processing.

Programming Skills – Proficiency in Java, Scala, or Python for developing Kafka-based applications.

Big Data & Streaming Technologies – Experience with Spark, Flink, or Apache Storm is a plus.

Database Knowledge – Familiarity with SQL and NoSQL databases like Cassandra, MongoDB, or PostgreSQL.

Cloud & DevOps – Experience with cloud platforms (AWS, Azure, GCP) and Kubernetes / Docker.

Event-Driven Architecture – Understanding of event-driven and microservices architectures.

Monitoring & Debugging – Experience with Kafka monitoring tools like Confluent Control Center, Kafka Manager, or ELK stack.

Security & Scalability – Knowledge of Kafka security, access control, and scaling strategies.

Problem-Solving & Communication – Strong analytical skills and ability to work in cross-functional teams

Roles & Responsibilities :

Kafka Application Development – Design, develop, and maintain real-time data streaming applications using Apache Kafka.

Topic Management – Create and manage Kafka topics, partitions, and replication factors.

Data Pipeline Development – Build and optimize data pipelines for real-time data processing.

Producer & Consumer Implementation – Develop Kafka producers and consumers for seamless data exchange between systems.

Integration & Connectivity – Integrate Kafka with databases, cloud services, and other messaging platforms.

Performance Optimization – Monitor and fine-tune Kafka clusters for low latency and high throughput.

Security & Compliance – Implement security best practices, including SSL, SASL, and authentication mechanisms.

Cluster Administration – Manage Kafka clusters, brokers, ZooKeeper, and ensure high availability.

Monitoring & Logging – Use tools like Prometheus, Grafana, or Kafka Manager for monitoring and troubleshooting.

Documentation & Best Practices – Maintain documentation for Kafka configurations, data flow, and architectural decisions.

Mandatory Skills

Java, Apache Kafka, Kafka Streams, Kafka, Apache Zookeeper, Kafka Cluster, Kafka Administrator, Microservices