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We are looking for an experienced Big Data DevOps Engineer to manage, automate, and optimize enterprise-scale big data platforms and cloud infrastructure.

The ideal candidate should have solid expertise in Big Data technologies, DevOps practices, cloud platforms, and Infrastructure as Code (IaC) to ensure secure, scalable, and highly available data ecosystems.

Key Responsibilities :

- Design, deploy, and maintain enterprise-scale Big Data platforms using Hadoop, Spark, Kafka, Hive, HBase, and related technologies.
- Build, manage, and optimize CI/CD pipelines for data engineering applications and analytics workloads.
- Automate infrastructure provisioning and configuration using Terraform, CloudFormation, Ansible, or similar Infrastructure as Code (IaC) tools.
- Deploy and manage containerized applications using Docker and Kubernetes.
- Monitor platform health, performance, availability, and capacity using observability and monitoring tools.
- Optimize cluster performance, storage, resource utilization, and workload scheduling.
- Collaborate with Data Engineers, Platform Engineers, and Application teams to support reliable data pipeline deployments.
- Implement security controls, identity management, data governance, and compliance best practices.




- Troubleshoot production issues and perform root cause analysis for platform incidents.
- Support cloud-based data platforms and services across AWS, Azure, or GCP.
- Maintain operational documentation, automation scripts, and deployment standards.
- Drive continuous improvement through automation, standardization, and DevOps best practices.

Required Skills :

- 6-10 years of experience in DevOps, Platform Engineering, or Big Data Infrastructure.
- Strong hands-on experience with Hadoop, Apache Spark, Kafka, Hive, HDFS, and related Big Data technologies.
- Experience building and managing CI/CD pipelines using Jenkins, GitLab CI, Azure DevOps, or GitHub Actions.
- Proficiency with Terraform, CloudFormation, Ansible, or similar Infrastructure as Code tools.
- Strong knowledge of Docker, Kubernetes, and container orchestration.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Proficiency in Linux administration and scripting using Python, Bash, or Shell.
- Experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, Splunk, or Datadog.
- Strong understanding of security, networking, and DevOps best practices.
- Excellent troubleshooting, analytical, and problem-solving skills.

📌 Synechron - Big Data DevOps Engineer - IAC Terraform (India)
🏢 Synechron
📍 India