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