Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Cross-Functional, Data Analysis, Data Quality, Data Storage, Database Extract Transform and Load (ETL)
Role: AWS Data Engineer
Location: Remote (EST/CST)
Duration: 6+ Months
Required skills: Data Bricks , AWS S3 , Python , Building Data Pipelines (3-4 resources)
Key Responsibilities:
Design and develop ETL pipelines using AWS Glue
Manage and optimize batch processing jobs using AWS Batch
Work with AmClienton S3 for data storage, ingestion, and lifecycle management
Ensure data quality, reliability, and performance
Collaborate with cross-functional teams for data integration and analytics
Required Skills:
Strong hands-on experience with:
14+ Years of IT Experience
AWS Glue (ETL, Crawlers, Jobs)
AWS Batch (job scheduling, compute environments)
AmClienton S3 (Data Lakes, Storage Clienthitecture)
R
Resource Logistics, Inc.
500 to 999 employees
Medical Devices and Supplies