Data and Infrastructure Engineer

Tasks

• Advise on data governance policies and roles
• Assemble complex datasets for business requirements
• Assess data and infrastructure environment and recommend improvements
• Debug issues in virtualization containers and microservices
• Deploy applications using Docker and Kubernetes
• Design and integrate RESTful services
• Design databases servers and large scale processing systems
• Develop and support OSDU workflows and data management pipelines
• Enable digital applications on cloud infrastructure
• Gather system requirements from architects and owners
• Handle incidents change requests and problems
• Install configure IoT solutions
• Integrate with data providers using JSON or XML
• Maintain and debug databases and data stores
• Maintain and support on premises applications
• Maintain documentation
• Manage cloud environments with security guidelines
• Operate and support infrastructure systems with automation
• Organize collect process and store data
• Participate in on-call rotation
• Perform data loading data migration and data retrieval
• Run data mapping and data quality control
• Transform unstructured data into analysis-ready formats
• Use OpenStack Linux and Azure in implementations

Perks/Benefits

• On-call rotation

Skills/Tech-stack

API | Amazon Web Services | Automation | Cloud platform | Containers | Data Governance | Data Mapping | Data Migration | Data Quality | Data Retrieval | Data loading | Docker | Google Cloud | Google Cloud Platform | Infrastructure as Code | IoT | JSON | Kubernetes | Linux | Microservices | Microsoft Azure | Network setup | NoSQL | NoSQL Database | OpenStack | Postgres | REST | SDK Implementation | SQL | SQL Database | Unix | Virtualization | Web Services | XML | “as-code”