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DevOps Engineer

Staffing (On Demand Talent): Bangalore, Karnataka, India

Salary Range: 0.00 - 9000.00 | Per Day

Job Code: 1

End Date: 2025-11-14

Days Left: 7 days, 6 hours left

Required skills: Skill Proficiency Python (problem-solving, query & retrieval) High CI/CD pipeline creation & maintenance (Groovy) High GIT repository management High Unix/Linux debugging High Databricks / SQL Server management Medium AWS / Azure Medium Docker container management in production Medium Redis Basic Docker CLI & container internals Basic ROSA (Red Hat OpenShift on AWS) Basic (Good to have) Dataiku (data workflows) Good to have Key Responsibilities · Analyze and resolve technical issues using Python and SQL. Design, build, and maintain CI/CD pipelines (preferably using Groovy). Manage and maintain GIT repositories and version control workflows. Support and debug Unix/Linux-based systems and applications. Collaborate with cross-functional teams to deploy and manage Docker containers in production. Work with cloud platforms (AWS/Azure) for infrastructure and service management. Manage and monitor Databricks and SQL Server environments. Ensure smooth integration and deployment of data workflows. Troubleshoot and optimize Redis-based caching mechanisms.  We are looking for a skilled and proactive engineer with strong experience in Python, DevOps practices, and cloud platforms to support and enhance our data engineering and deployment pipelines. The ideal candidate will have hands-on experience across a range of technologies including CI/CD, containerization, cloud services, and data platforms. Experience with ROSA (Red Hat OpenShift Service on AWS). Familiarity with Dataiku for building and managing data workflows.
Job Requirement
  • BASIC
  • Groovy
  • Linux
  • Management
  • Python
  • Unix
  • Service Management
  • Azure
  • Maintenance
  • Service
  • Continuous Deployment
  • Continuous Integration
  • Deployment
  • Design
  • Devops
  • Docker
  • Docker Cloud
  • Git
  • Microsoft SQL Server
  • Openshift
  • Redis
  • Reliability Engineering
  • Cloud
  • Containers
  • Data Engineering
  • Functional
  • Production
  • support
  • Python
  • Devops
  • Cloud
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