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You will be updated with latest job alerts via emailAWS 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.
Bachelors 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.).
APIs 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 Allys Platform and technologies.
Work with Business and delivery partners to understand future requirements and implications for architecture
Remote Work :
No
Full Time