AWS Data Engineer

Requirements

• Valid Linkedin Profile
• Min 14+ years of experience
• Hands-on data engineering experience with proven track record of building production data pipelines
• Expert-level proficiency in Python for data processing, ETL development, and automation (PySpark)
• Deep experience with AWS Glue including job development, crawlers, triggers, and workflow orchestration
• Strong expertise in DynamoDB data modeling, capacity planning, streams, and performance optimization
• Solid understanding of AWS ecosystem: S3, Lambda, Step Functions, CloudWatch, IAM, KMS, Kinesis
• Proficiency with Postman for API development, testing, and collaboration
• Strong SQL skills and understanding of data warehousing principles
• Experience with version control (Git), CI/CD tools, and infrastructure as code (CloudFormation/Terraform)
• Knowledge in AI tool

Schedule

• Contract
• 100% Onsite

How to apply

• Share resumes by email

Location

• Juno Beach, FL