AWS Data Engineer

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

•

Last updated on Aug 20, 2024