# Confluent Integration Engineer

> Weekday AI · Pune, India · Full-time · Posted 2026-08-07

**Salary:** INR 600,000–1,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**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 strong 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 transformation and routing requirements using Kafka Connect Single Message Transforms (SMTs) where appropriate.
-   Collaborate with application and data teams to understand integration requirements and translate them into robust Kafka-based solutions.
-   Support deployment, configuration management, upgrades, and production releases for Kafka and Confluent environments.
-   Establish monitoring, logging, alerting, and operational processes for Kafka and connector infrastructure.
-   Create technical documentation covering architecture, configurations, integration workflows, troubleshooting procedures, and operational standards.

### Must-Have Skills

-   **3–6 years of hands-on experience** in Kafka and enterprise data integration.
-   Strong expertise in **Apache Kafka** concepts, architecture, and administration.
-   Hands-on experience with **Confluent Platform** and **Confluent Kafka**.
-   Strong experience configuring and managing **Kafka Connect and Confluent Connectors**.
-   Experience working with both **Source and Sink Connectors**.
-   Good understanding of Kafka producers, consumers, topics, partitions, replication, offsets, and consumer groups.
-   Experience with **Confluent Schema Registry** and serialization formats such as Avro, JSON Schema, or Protobuf.
-   Strong troubleshooting and performance-tuning capabilities for Kafka and connector-based integrations.
-   Good understanding of REST APIs and integration patterns.
-   Proficiency in scripting or programming using **Java, Python, or similar languages**.

### Good-to-Have Skills

-   Experience with connectors for databases such as **Oracle, PostgreSQL, MySQL, or SQL Server**.
-   Exposure to cloud platforms such as **AWS, Azure, or GCP**.
-   Experience with Kafka security, including **SSL/TLS, SASL, ACLs, and authentication mechanisms**.
-   Knowledge of Kubernetes and containerized Confluent deployments.
-   Familiarity with monitoring tools such as Prometheus, Grafana, Splunk, or ELK.
-   Understanding of CI/CD pipelines and DevOps practices.
-   Experience with Kafka Streams or ksqlDB is an advantage.

### Qualifications

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline, along with strong analytical, communication, and problem-solving skills.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/7A1F2131C1/apply)

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