GCP DevOps Engineer Role

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.