AWS/ DATA Engineer
Why This Role Stands Out
Leverage your expertise in AWS, Python, SQL, and GenAI to architect and build cutting-edge data solutions, contributing to innovative projects within a reputable technology company. This role is ideal for a driven mid-senior engineer eager to expand their skills in cloud data engineering and advanced AI technologies. Apply today to join a forward-thinking team and make a significant impact.
Quick Overview
Job Description
W2 Role... No C2C resumes
AWS/ DATA Engineer
Must be Local to Coral Springs , FL
MUST HAVES:
- AWS (Glue, Lambda, Redshift, S3, ECS/Fargate)
- Python & SQL Development
- Amazon Bedrock / GenAI Solutions
- Data Engineering & Data Warehousing
- Agentic AI / LLM Framework
Responsibilities
- Design and operate data pipelines on AWS — Glue, Step Functions, Lambda, EventBridge, S3 — feeding the Redshift data warehouse.
- Stand up and operate containerized production pipelines on AWS Fargate / ECS (scheduled ingest or scrape, enrich, deliver) with CloudWatch alarms and health monitoring.
- Design dimensional data models — facts, conformed dimensions, and analytics marts — on Redshift over a zero-ETL replica of the operational source.
- Implement document-extraction pipelines using Amazon Bedrock Data Automation blueprints and deliver structured output to downstream consumers via webhook or queue.
- Build and operate Bedrock Knowledge Bases for retrieval-augmented generation: source preparation, indexing, retrieval evaluation, and cost / latency tuning.
- Build agents using the Strands Agents SDK on Bedrock AgentCore — supervisor / sub-agent topologies, tool definitions, and deployment hardening.
- Build applied-LLM data products for reporting, search, and agentic operations.
- Deploy and operate services on AWS end to end, including internal web apps and demos.
- Build internal tooling and integrations, including MCP servers.
Skills
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