GCP DevOps Engineer Role

New

Skills

Big Data Solutions CI/CD Data Ingestion Data Pipelines Devops Github Gitlab Google Cloud Platform Jenkins Predictive Analytics

Join Kaizen Analytix, a leading provider of data-driven insights and analytics solutions, as a GCP DevOps Engineer. You will be instrumental in designing, deploying, and optimizing data pipelines and storage solutions on Google Cloud Platform. Collaborate with multidisciplinary teams to deliver scalable, AI-powered business solutions for clients across industries including automotive, consumer, energy, and industrials.

Key Responsibilities
  • Configure and manage Google Cloud Platform (GCP) services for diverse analytics projects.
  • Design and deploy robust data pipelines and workflows on GCP.
  • Develop and maintain data ingestion and transformation processes.
  • Establish and manage secure, scalable data storage solutions using GCP.
  • Build and optimize CI/CD pipelines using Jenkins and GitLab for continuous integration and deployment.
  • Collaborate with cross-functional teams to bridge business and IT requirements.
  • Leverage AI and predictive analytics to deliver impactful business insights.
Required Skills & Qualifications
  • 4 to 6 years of experience in DevOps engineering.
  • Strong hands-on experience with Google Cloud Platform services.
  • Proficiency in building CI/CD pipelines (Jenkins, GitLab).
  • Experience with data storage, processing, and pipeline design.
  • Solid understanding of big data solutions and analytics platforms.
  • Familiarity with Github (a plus).
  • Background in predictive analytics and AI-driven solutions.
  • Excellent problem-solving and communication skills.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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