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.

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