Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Confluent Developer/Admin

3 to 5 Years

As per Company Norms

Gurugram/ Noida/ New Delhi



Job Summary

Confluent Developer

Key Responsibilities

  • Design and develop

    Kafka producers, consumers, and stream processing applications

    using Kafka Streams, KSQL, or Kafka Connect.
  • Build and manage

    data pipelines

    using Confluent tools (Schema Registry, Kafka Connect, KSQL, etc.).
  • Integrate Confluent Platform with external systems (databases, APIs, cloud storage).
  • Ensure

    high availability, scalability

    , and performance of Kafka clusters.
  • Monitor, troubleshoot, and optimize Kafka-based applications.
  • Collaborate with software engineering, data engineering, and DevOps teams.
  • Develop and maintain

    CI/CD pipelines

    for Kafka applications.
  • Apply best practices in

    schema design, message serialization (Avro, Protobuf), and versioning

    .

Required Skills & Qualifications

  • Strong experience with

    Apache Kafka

    and

    Confluent Platform

    .
  • Proficiency in

    Java

    ,

    Scala

    , or

    Python

    .
  • Experience with

    Kafka Streams

    ,

    KSQL

    ,

    Kafka Connect

    , and

    Schema Registry

    .
  • Solid understanding of

    distributed systems

    and

    event-driven architecture

    .
  • Experience with

    message serialization formats

    like Avro, Protobuf, or JSON.
  • Familiarity with

    DevOps tools

    (Docker, Kubernetes, Helm) and

    cloud platforms

    (AWS, Azure, GCP).
  • Knowledge of

    monitoring tools

    (Prometheus, Grafana, Confluent Control Center).
  • Bachelor’s degree in Computer Science or related field.

Preferred Qualifications

  • Confluent Certified Developer for Apache Kafka (CCDAK) or similar certifications.
  • Experience with

    data engineering tools

    (Spark, Flink, Hadoop).
  • Familiarity with

    real-time analytics

    and

    data lakes

    .
  • Contributions to open-source Kafka projects.

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