Kafka Developer

Tekskills Inc.; Dadri; Remote; INR 1.200.000 - 2.400.000; Vollzeit

Zusammenfassung

Tekskills Inc. in India seeks engineers to design and develop data pipelines, integrating Kafka with databases, APIs, and microservices across the enterprise.

You will build stream processing applications and ensure robust data flows and security governance. Responsibilities include tuning Kafka clusters for performance, monitoring data movement, troubleshooting issues, and shaping the architecture of data streaming platforms PAN INDIA.

Qualifikationen

• Design and develop data pipelines using Kafka across producers and consumers.
• Integrate Kafka with databases, APIs, microservices, and enterprise systems.
• Tune Kafka clusters, topics, producers and consumers for performance and reliability.
• Monitor data flow, troubleshoot issues, and ensure high availability.
• Contribute to the design and strategy of data streaming architectures.
• Implement security and data governance policies, including schema management.

Aufgaben

• Design Development Create and maintain data pipelines| producers| consumers| and stream processing applications using Kafka.
• Integration Connect Kafka with databases| APIs| microservices| and other enterprise systems.
• Performance Optimization Tune Kafka clusters| topics| producers| and consumers for optimal performance| scalability| and reliability.
• Monitoring Troubleshooting Monitor data flow| resolve issues| and ensure high availability.
• Architecture Contribute to the design and strategy of data streaming architectures.
• Security Governance Implement security| schema management (e.g.| Schema Registry)| and data governance policies.

Kenntnisse

Kafka

Data pipelines

Stream processing

Monitoring

Troubleshooting

Security governance

Schema Registry

Tools

Kafka

Jobbeschreibung

Role Descriptions: Looking for PAN INDIA

• Design Development Create and maintain data pipelines| producers| consumers| and stream processing applications using Kafka.
• Integration Connect Kafka with databases| APIs| microservices| and other enterprise systems.
• Performance Optimization Tune Kafka clusters| topics| producers| and consumers for optimal performance| scalability| and reliability.
• Monitoring Troubleshooting Monitor data flow| resolve issues| and ensure high availability.
• Architecture Contribute to the design and strategy of data streaming architectures.
• Security Governance Implement security| schema management (e.g.| Schema Registry)| and data governance policies.