Highly Experienced Big Data Systems Architect

3 days ago


Tirupati, Andhra Pradesh, India beBeeAdministrator Full time ₹ 20,00,000 - ₹ 25,00,000
Job Overview

We are seeking a skilled Kafka Administrator to lead the deployment and management of our production-grade Kafka clusters. The ideal candidate will have extensive experience in designing, deploying, and maintaining high-availability and fault-tolerant Kafka infrastructure.

Key Responsibilities:

  • Deploy and upgrade production-grade Kafka clusters to ensure high availability and fault tolerance.
  • Automate the installation and configuration of Kafka clusters using tools such as Ansible and Chef.
  • Troubleshoot critical production issues, optimizing Kafka performance and minimizing downtime.
  • Configure MirrorMaker for data replication between two data centers, ensuring effective disaster recovery.
  • Deploy and manage Provectus Kafka UI on a Kubernetes cluster for real-time monitoring and management.
  • Integrate Schema Registry and deploy multiple Kafka Connectors to facilitate seamless data flow.
  • Onboard new users by managing ACL permissions, creating topics, and implementing end-to-end security with SSL/TLS.
  • Design and manage Kafka infrastructure to enhance message processing efficiency.
  • Conduct performance testing to optimize partitioning, replication, and retention policies.
  • Integrate Kafka with ELK Stack and Solr for scalable data storage and analysis.

Requirements:

  • BE, BTech, MCA, or MCS degree.
  • 3+ years of experience in Kafka administration.
  • Strong understanding of Kafka architecture and design principles.
  • Proficiency in programming languages such as Java, Python, and Scala.
  • Familiarity with containerization tools like Docker and Kubernetes.
  • Experience with DevOps tools such as Ansible, Terraform, and Jenkins.
  • Strong problem-solving skills and ability to work under pressure.
  • Excellent communication and collaboration skills.

Preferred Skills:

  • Experience with cloud platforms such as AWS or GCP.
  • Knowledge of distributed systems and big data processing.
  • Experience with CI/CD pipelines and automated testing.
  • Understanding of security best practices for Kafka deployments.

Benefits:

  • Competitive salary and benefits package.
  • Opportunity to work with cutting-edge technology.
  • Collaborative and dynamic work environment.


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