Hybrid
Full Time
"Primary Skills: DevOps , Message Queue System (e.g. Kafka), ETL tool (e.g. Nifi)
Secondary Skills - ADO, Terraform, Ansible), Scripting (e.g. Bash, Python), Splunk"
Mandatory Skill and Certifications -
Message Queue System, ETL Tool
Responsibilities -
Message Queue system (Administration, troubleshooting), ETL Tool (Ensure ingestion, performance issue troubleshooting), DevOps
Job description
DevOps Engineer with hands-on experience in Message Queue Systems (e.g., Kafka) and ETL tools (e.g., NiFi). The ideal candidate will have strong expertise in CI/CD pipelines, infrastructure automation using Terraform and Ansible, and scripting in Bash/Python. Familiarity with Azure DevOps (ADO) and monitoring tools like Splunk is essential. You will be responsible for building scalable data pipelines, managing deployments, and ensuring system reliability. Strong problem-solving skills and a collaborative mindset are key to success in this role
Capgemini
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