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Qualifications

• Resource should have minimum 2+ years' experience in building data services in public clouds (AWS, Azure, GCP)
• Should be an GCP Certified engineer or should be holding certification on any Cloud platform
• Should have in-depth knowledge on GCP(or other Cloud) architecture
• Should have hands-on experience with various CI/CD tool sets (GitHub, Jenkins, Puppet, Docker)
• Should have extensive knowledge on CI/CD pipeline creation and containerization
• Experience deploying Kubernetes ecosystem into GCP Container Service.
• Automation experience using Python/Ruby/Go or any other scripting
• Familiarity with enterprise data engineering capabilities, e.g., pipelines, data and analytical modeling, data quality frameworks and the tech that enables them
• Experience with schema design, data modeling and SQL queries is a plus
• Passionate about engineering perfection, performance, and quality
• Experience and passion for working in a fast-paced agile environment, delivering functional features in small time durations