Data Engineer

Job Summary:

Responsibilities:

• Design, architect, and implement next generation system architecture and automation solutions in Cloud environments.
• Implement, maintain, and improve Continuous Integration and Continuous Delivery environments.
• Own and lead initiatives to define, design, and implement DevOps solutions which include reference architectures, estimates, and costing.
• Provide technical leadership, project guidance, and business development in various technology areas: API, Message Queue
• Advise business and technology delivery leadership on how to translate the client’s infrastructure and automation of business requirements into executable technology solutions.
• Participate in workshops and provide presentations of the proposed solution.
• Act as a subject matter expert on Cloud/DevOps best practices with Terraform, Cloud Formation, Auto Scaling Groups, and Configuration Management.
• Perform the best analysis practices and emerging concepts in Cloud/DevOps, Infrastructure Automation, and Enterprise Security.
• Act as a technical liaison between users, data scientists, AI developers, service engineering teams and support.
• Review and audit of existing solutions, design, and system architecture.
• Profiling and troubleshooting existing solutions.
• Create technical documentation.

Qualifications:

• Bachelor’s degree in computer science, Computer Engineering, or a related field.
• Minimum 5 years of Experience with automated deployment, continuous integration, and release engineering tools (Nagios, Zabbix, Cacti, New Relic, Graphite) or related field.
• Good knowledge of Agile environments.
• Experience building global and scalable platforms. 
• Broad knowledge of software development and software testing methodologies along with change and configuration management practices in Linux based environments.
• Strong scripting skills (Python, Ruby, or Gravel).
• Strong knowledge of infrastructure automation tools (Puppet, Chef, Ansible), in Cloud and DevOps solution delivery and strategy.
• Practical expertise in performance tuning and optimization, bottleneck problems analysis.
• Solid technical expertise and troubleshooting skills.
• Good command of English communication (TOEIC score 700 and above).