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Fulltime - Data Engineer - Charlotte, NC
3 months ago
- Developing data integration architectures and define architecture standards & guidelines (architecture and design patterns)
- Defines deployment topology by working with peers across the technology organization.
- Optimizes use of Platform and technologies.
- Work with Business and delivery partners to understand future requirements and implications for architecture
- Identify architecture solution alternatives, driving business requirements, and availability of new technologies
- Identify new technologies and tools to support architecture(s) and determine architectural roadmaps
- Encourage early adoption of tools and architecture across the organization
- Review solutions and projects to ensure they are consistent with standard methodologies in data and analytics
- Bachelor's Degree in a related field (Computer Science, AI/ML).
- 5+ years of IT and business/industry development experience
- Knowledge of data standards (security, ingestion, warehousing, storage)
- Validated knowledge of successful design, architecture and development using AWS Cloud technologies.
- Experience with AWS product categories like Analytics, Application Integration, Compute, Database, Serverless.
- Experience with Snowflake
- Experience with AI/ML
- Collaborate with Agile teams to recommend the right architectures with high quality and software standard methodologies
Strong communication skills.
- Experience with One or more data Integration Technologies (Matillion, Pentaho, Datastage, etc.).
- API's, Apigee, Developer Portals. Expertise in JSON, RESTful services, and similar related tech
- Expertise in R, Python and predictive analytics.
- Containers: Docker, Kubernetes, OpenShift, Ansible, Nexus, Software defined networking.
- DevOps/DevSecOps: Chef, Puppet, Jenkins, Packer, Git, GitHub