Data and Infrastructure Engineer
Tasks
- Advise on data governance policies roles and dataflow
- Assemble complex datasets for requirements
- Assess data and infrastructure environment and recommend improvements
- Automate infrastructure systems and deployments
- Debug issues in virtualization containers and microservices
- Deploy applications using Docker and Kubernetes
- Design RESTful services and integrate data providers
- Design plan manage maintain cloud environments
- Gather system requirements from architects
- Implement and maintain Linux based systems
- Install and configure IoT solutions
- Integrate data across cloud vendors
- Maintain databases using SQL and NoSQL
- Maintain project documentation
- Map data and perform data quality control
- Operate handle incidents change requests and problems
- Organize collect process store data
- Perform data loading data migration and data retrieval
- Support on call incident rotation
- Support on-premises applications
- Transform unstructured data for analysis
Perks/Benefits
Skills/Tech-stack
API Integration | Amazon Web Services | Automation | Cloud Computing | Cloud platform | Containers | Data Engineering | Data Governance | Data Mapping | Data Migration | Data Quality | Docker | Google Cloud | Google Cloud Platform | IoT | JSON | Kubernetes | Linux | Microservices | Microsoft Azure | Networking | NoSQL | On-Premises | OpenShift | OpenStack | PostgreSQL | REST | RPC | SQL | Unix | Virtualization | Web Services | XML
Education
N/A
Roles
Data Engineer | Engineer | Infrastructure | Infrastructure Engineer
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