| GCP Data Engineer at Remote, Remote, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=318837&uid= From: James Smith, Rivago Infotech [email protected] Reply to: [email protected] Position Name: Data Engineer with GCP Location: Remote Position Type: C2C Job Description: Roles & Responsibilities Work with an extremely talented team, building the foundation of support for GCP. Strong knowledge on Java, Python and SQL, preferably GCP Data engineer & Cloud architect certified. Experience on building data pipelines on Data fusion & other GCP data services. Support GCP customers by monitoring & resolving critical and complex technical issues with global support delivery team. Support customers utilizing GCP, and all associated services Automate infrastructure and develop tools and processes to improve the customer experience and reduce support toil. Own issues end-to-end working collaboratively with your team and peers Work with customers and other teams to troubleshoot customer environments to increase end user satisfaction. Deep dive into complex performance issues to increase efficiency and reduce customer incidents. Google Certified Professional Cloud Architect with experience automating and orchestrating workloads on GCP or other Public Clouds. Automation experience with at least one configuration management system such as Chef, Puppet, Ansible, Salt, or other such tools. Experience working at least one of the following languages: Python, Go Proficient with git and git workflows. Proficient in leveraging CI and CD tools (Jenkins, TeamCity, Spinnaker) to automate testing and deployment. Experience working in an Agile, fast paced, DevOps environment Knowledge (preferably experience) in building distributed, highly available applications or systems architectures Strong Linux skills. A working understanding of Load balancers and Load balancing methodology. Excellent written and verbal communication skills with ability to communicate technical issues to nontechnical and technical audiences. Working knowledge of Backup and Recovery methodology and implementations. Qualification: Bachelors degree in computer science or engineering related field or equivalent work experience and 6+ years of experience Proficiency in Python or Go. Experience working in a containerized environment (Docker/LXC) with Kubernetes exposure. One or more of the following certifications: Google Certified Professional Cloud Architect or Google Certified Professional Data Engineer. Relevant technical certifications in Google Compute Platform, Red Hat, MySQL, and other related technologies. Qualifications Minimum qualifications: Minimum 7-8 yrs. of IT experience, and 2-3 Years on Google Cloud Platform Education: Bachelor's degree in Computer Science, Information Systems, Engineering, Math, Business or other related scientific or technical discipline. An additional 4 years of demonstrated middleware or equivalent experience may be substituted for a bachelors degree. Excellent verbal and written communication skills. Prior experience interacting extensively with users. Preferred qualifications Experience in implementing GCP solutions, programming & migrations Keywords: continuous integration continuous deployment information technology golang http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=318837&uid= |
| [email protected] View All |
| 10:15 PM 30-Jan-23 |