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Confluent Integration Engineer (Pune Division)

Weekday AI (YC W21) Verified employer

Actively hiring · Posted 8d ago · JEV2610D137440DBB

SalarySalary not disclosed
Experience3–7 yrs
LocationPune, Maharashtra
Work modeHybrid · Full time
Openings1
Shift200","position":1,"url":"https://www.shine.com/jobs/confluent-kafka-developer-fu
IndustryIT Services & Consulting

Job description

This role is for one of the Weekday's clients

Salary range: Rs 600000 - Rs hidden_mobile (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 .

Key skills

How to apply

  1. Sign in or create your free profile — takes about two minutes.
  2. Apply with one tap — your profile is shared directly with Weekday AI (YC W21).
  3. Track your application and get updates by email and WhatsApp.
Apply now
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