Kafka Developer

4 days ago

Pune, Maharashtra, India Innovative Information Technologies, Inc. Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Role : Kafka Developer

Experiences : 5+ Years

Location : Pune

Type : Contract

Mode : Full time

Job Description :

Role Overview

Seeking a highly skilled Kafka Developer with deep expertise in 
Kafka transformations
 and hands-on experience working with 
MS SQL / PostgreSQL
 databases especially in environments with 
non-standard schemas
 (e.g., tables without primary keys, with/without constraints, and foreign keys). The ideal candidate will be responsible for designing and implementing scalable, event based data pipelines(batch and real time) and ensuring robust CDC (Change Data Capture) mechanisms for incremental data replication.

  • 5+ Years Deep understanding of Apache Kafka and the surrounding ecosystem (schema registries, Kafka Connect, Kafka Streams, Kafka client libraries, Spark Structured Streaming)
  • Independently resolving issues when deploying and setting up any sort of infrastructure (like cloud services) or
  • applications (e.g., a Spring Boot application on App Service, or a Python Azure Function)
  • Deep understanding of Kubernetes and Docker
  • Deep understanding/knowledge of public clouds, especially focusing on Azure, with focus on services such as Azure Functions, Azure Logic Apps, Azure App Service, Azure Kubernetes Service, OpenShift (Kubernetes in general), Azure Databricks, Azure Stream Analytics, Azure Event Hubs, Azure Service Bus, Azure Event Grid, Azure Data Lake Gen2/Azure Blob Storage
  • Deep understanding of software design patterns and knowledge of popular programming languages (Java, C#, JavaScript, Python) with in-depth knowledge of at least one programming language preferably Java.
  • Managing the data pipeline.
  • Troubleshooting issues in Kafka and provide resolutions.
  • Deep knowledge of 
    Kafka internals
    , cluster architecture, partitions, replication, and security.
  • Exposure in handling Kafka version migrations and patch updates.
  • Good understanding of disaster recovery setup.
  • Implement best practices.
  • Designing Kafka cluster, ensure data reliability and performance tuning.
  • Exposure to capacity planning.
  • Knowledge on Zookeeper, Schema Registry, control center, Mirror Maker 2, Cruise Control, Kafka Exporter, Kafka Connect.
  • Good knowledge on setting up monitoring dashboards like Grafana, Prometheus.
  • Implementing Automations in Kafka.

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