Confluent Integration Engineer (Pune Division)

Confluent Integration Engineer (Pune Division)

13 Aug
|
Weekday AI (YC W21)
|
Pune Division

13 Aug

Weekday AI (YC W21)

Pune Division

This role is for one of the Weekday's clients
Salary range: Rs 600000 - Rs 1000000 (ie INR 6 - 10 LPA)
Min Experience: 3+ years

Location: Pune

JobType: full-time

We are looking for a skilled
Confluent Integration Engineer
with
3-6 years of experience
in designing, developing, implementing, and supporting real-time data integration solutions using
Apache Kafka and Confluent Platform
. The ideal candidate will have robust hands-on expertise in Kafka-based architectures, Confluent connectors, data pipelines, and event-driven integration patterns.

You will work closely with engineering, application, data, and infrastructure teams to build reliable, scalable, and high-performance streaming solutions. The role requires strong troubleshooting skills and the ability to manage Kafka and Confluent integrations across development, testing, and production environments.

Requirements
Key Responsibilities
- Design, develop, configure, and maintain real-time data integration pipelines using Apache Kafka and Confluent Platform




- Implement and manage Kafka Connect frameworks and Confluent connectors for integrating databases, applications, APIs, cloud platforms, and enterprise systems
- Configure and maintain Source and Sink Connectors, including connector properties, transforms, converters, tasks, and worker configurations
- Develop scalable event-driven integration solutions using Kafka topics, partitions, consumer groups, producers, and consumers
- Monitor Kafka clusters, Connect workers, connectors, and data pipelines to ensure availability, reliability, and performance
- Troubleshoot connector failures, message delivery issues, consumer lag, serialization problems, schema-related issues, and pipeline disruptions
- Work with Confluent Schema Registry to manage Avro, JSON Schema, or Protobuf schemas and maintain data compatibility
- Optimize Kafka configurations including partitions, replication, retention, consumer settings, and connector task allocation
- Implement data tra

📌 Confluent Integration Engineer (Pune Division)
🏢 Weekday AI (YC W21)
📍 Pune Division

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