.Senior Data Analytics DevOps Engineer As part of the global Data Analytics DevOps Engineering team, work with architecture, engineering, business teams and operations teams to design, build, provision infrastructure, and support development activities. Responsible for DevOps tools management in terms of maintainability, security, and identity access management (IAM). Implement deployment pipelines in Continuous Integration/Continuous Delivery (CI/CD) tools to release managed, scalable, highly available, and fault-tolerant Data Analytics solutions on Cloud systems like Amazon Web Service (AWS), Azure and GCP. Implement Data Analytics Environments in Cloud following the infrastructure best practices defined with Security, Architecture and DevOps teams. Manage scalable data analytics solutions on different regions. Support the security team to identify and patch the system vulnerabilities. Evaluate and implement advance solutions to improve the monitoring and the troubleshooting. Implement design solutions for data pipeline automation to improve the deployment efficiency and time-to-market. Work side-by-side with Architecture team to evaluate new solutions and to provide the preliminary results from a Proof-of-concept (POC). Review, evaluate and approve technical design solutions proposed by partners for data analytics pipelines. Optimize the resources and work on resource tagging to allocate costs and plan budgeting, governance, and reporting. Manage the work of external partners resources and contractors in multiple countries. Full time employment, Monday – Friday, 40 hours per week. MINIMUM REQUIREMENTS: Must have a Bachelor's degree in Information Technology, Computer Science, or a related field, and 5 years of progressive, post-baccalaureate experience in Web Development, DevOps, or Cloud Computing; OR a Master's degree inInformation Technology, Computer Science, or a related field, and 2 years of experience in Web Development, DevOps, or Cloud Computing. Of the required experience, must have at least 2 years of experience in each of the following: Designing, implementing and supporting products and services in cloud native environments; Cloud computing including AWS, GCP, or Azure; Utilizing software development tools, including Terraform, Jenkins, or Ansible; Utilizing tracking and management tools, including JIRA or Confluence; Scripting with bash andPython; Agile software development. Telecommuting permitted 1 day per week. Any suitable combination of education, training, or experience is acceptable. Apply online at vfc.Com/careers under "find your calling here" and search for R-20221220-0019 Senior Data Analytics DevOps Engineer and click apply. Should you have any difficulty in applying for this position through our website, please contact for assistance in the application process. Hiring Range : $98,400.00 USD - $123,000
