AWS Data Engineer needs 2 to 4 years of IT and business / industry development experience
AWS Data Engineer requires :
- AWS Data Engineer, Snowflake Data Engineer
- Experience with AWS product categories like Analytics, Application Integration, Compute, Database, Serverless;
- Experience with Snowflake;
- Development experience using AWS;
- Validated knowledge of successful design, architecture and development using AWS Cloud technologies.
- Bachelor's Degree in a related field (Computer Science, AI / ML).
- Knowledge of data standards (security, ingestion, warehousing, storage)
- Validated knowledge of successful design, architecture and development using AWS Cloud technologies.
- Experience with AI / ML
- Collaborate with Agile teams to recommend the right architectures with high quality and software standard methodologies
- 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
AWS Data Engineer duties :
- 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 Ally's Platform and technologies.
- Work with Business and delivery partners to understand future requirements and implications for architecture
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