Data Engineer with AWS

Role: Data Engineer with AWS Location: Miami, Florida, USA onsite day 1 Role Type: Long term Contract Experience: 7+ years Job Description: Build a Centralized data platform unified data platform for customer across organization Data engineer should knowledge of data model, AWS serverless knowledge (AWS, DynamoDB, S3, Lambda) 40% DynamoDB and 60% AWS Self-starters that can adopt to the dynamic environment and contribute 7 10 years of experience in AWS, data Good understanding skills in AWS Services, Storage, DynamoDB and Lambda MuleSoft is used integration layer Consistent definition of the customer that can be leveraged for multiple consumption like reporting, GenAI use cases Write batch jobs to bring in data as ad-hoc or batch integration from ERP/CRM Capture data points across customer journey DynamoDB is used to enable fast retrieval, ingestion, accommodate multiple schema MuleSoft connectors directly accessed through DynamoDB