Kafka-Confluent Developer-PAN INDIA

Infosys; Hyderabad, Pune District, Bengaluru; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Infosys is seeking a Kafka-based data engineer to design and implement scalable data pipelines on the Confluent platform. You will collaborate with cross-functional teams to translate business requirements into robust, real-time data solutions.

The role requires hands-on experience with Kafka, Kafka Streams, and Connectors, plus familiarity with Schema Registry and a focus on high availability and fault tolerance.

Qualifications

• 3-8 years of experience with Apache Kafka or similar technologies.
• Strong understanding of Kafka Streams concepts including topics, partitions, offsets, and retention policies.
• Experience with Kafka Connectors (e.g., S3, Postgres) for data ingestion/publishing from various sources/destinations.
• Familiarity with Confluent Schema Registry for schema management.

Responsibilities

• Design, develop, test, deploy, and maintain scalable data pipelines on Confluent Kafka.
• Collaborate with cross-functional teams to translate business requirements into data solutions.
• Implement event-driven architectures for real-time data systems.
• Troubleshoot Kafka clusters, brokers, connectors, and messaging queues.
• Ensure high availability with replication and redundancy.

Skills

Kafka

RabbitMQ/NATS

Kafka Streams

Kafka Connectors

Schema Registry

Tools

Confluent Platform

Job description

Roles and Responsibilities

• Design, develop, test, deploy, and maintain scalable data pipelines using Confluent's streaming platform (Kafka).
• Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
• Implement event-driven architecture patterns to build real-time data systems.
• Troubleshoot issues related to Kafka clusters, brokers, connectors, and messaging queues.
• Ensure high availability of the system by implementing redundancy measures such as replication factors.

Desired Candidate Profile

• 3-8 years of experience in developing applications on top of Apache Kafka or similar technologies like RabbitMQ/NATS.
• Strong understanding of Kafka Streams concepts including topics, partitions, offsets, and retention policies.
• Experience working with Kafka Connectors (e.g., S3, Postgres) for data ingestion/publishing from various sources/destinations.
• Familiarity with Confluence's Schema Registry for schema management.