Description

The Rapid and Rural Logistics (R2L) org is seeking an exemplary Data Engineer with broad technical skills to develop, own and support pipelines that back business analytics, to build tools that facilitate orchestration, and to produce automation scripts that optimize infrastructure. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.

We are looking for someone with preferred experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and bedrock. Experience working independently and completing end-to-end projects. Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Main responsibilities of this role include but are not limited to:

- Manage and grow a database infrastructure

- Develop automation solutions through programming languages

- Collect and convert functional and business requirements into solutions that are operable, scalable, and well-suited to the overall organization.

- Determine best practices for creating data lineage from a range of data sources by analyzing source data systems.

- Engage in all phases of the development life cycle, including design, implementation, testing, delivery, documentation, support, and maintenance.

- Design and implement proof-of-concept pilots leveraging generative AI technologies

- Develop reference architectures and technical guidelines for AI feature integration

- Build AI-enabled knowledge management frameworks and tools

- Collaborate with teams across Amazon to share learning and stay current with AI developments