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Strong experience with Kubernetes (EKS/GKE/AKS) and Helm for deployment management.• Proficient in Terraform and shell scripting (Bash, Python).• Familiarity with Airflow, Spark, Kafka, and distributed data systems.• Hands-on with GitOps, GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD.• Experience in managing Docker images, containers, and container registries.• Knowledge of artifact management (e.g., Nexus, Artifactory).• Experience with data Lakehouse platforms (e.g., S3 + Hive, Delta Lake, Iceberg) will be an advantage.• Proficiency in tools like Prometheus, Grafana, ELK stack, Datadog, or CloudWatch.• Experience implementing alerting, logging, and distributed tracing in data environments.• Experience in secret management using Vault, AWS Secrets Manager, or Kubernetes Secrets.
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