Job Description

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
Employment Type: Full-Time
Salary: $ 50.00 Per Hour

Job Tags

Hourly pay, Full time,

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