- Design, develop, and maintain scalable big data pipelines using Airflow on Kubernetes.
- Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
- Implement CI/CD processes using Python scripts and Docker containers to ensure productive deployment of applications.
- Troubleshoot issues related to big data processing, pipeline failures, and infrastructure configuration.
Job Requirements :
- 3-5 years of experience in DevOps engineering with a focus on big data technologies (Airflow, Kubernetes).
- Strong understanding of CICD methodology and ability to implement it using Python scripts and Docker containers.
- Experience working with cloud-based platforms such as Microsoft Azure or similar technologies.
- Proficiency in Terraform for infrastructure provisioning.
📌 Big Data DevOps Engineer (Bengaluru)
🏢 Embitel Technologies
📍 Bengaluru
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