Participate in a high-velocity development life cycle, shifting from traditional multi-day delivery timelines to shipping high-impact products in hours. AWS Services: Deep operational knowledge of AWS integration offerings, specifically Kinesis, Lambda, SQS, EventBridge (Events), and API Gateway.
Numbers & Facts
Location
Atlanta, GA
Description
Our Client, an IT Services and Consultant company, is looking for an AI Accelerated Integration Engineer for their Atlanta, GA location.
Responsibilities:
Design, build, and optimize data ingestion and transformation pipelines using modern Python data frameworks.
Develop, deploy, and maintain serverless REST APIs and event-driven architectures on AWS.
Leverage AI development assistants to rapidly write clean code, generate comprehensive test suites, and produce technical documentation.
Participate in a high-velocity development life cycle, shifting from traditional multi-day delivery timelines to shipping high-impact products in hours.
Integrate serverless AWS services with core data platforms to ensure reliable message delivery and state management.
Requirements:
Experience: 3 to 6 years of software or data engineering background.
Data Engineering & Frameworks: Expert-level Python skills with hands-on experience using data frameworks such as Pandas and PySpark for data manipulation and processing.
Core Skills: Advanced Python programming, data handling, and enterprise integration concepts/patterns.
AWS Services: Deep operational knowledge of AWS integration offerings, specifically Kinesis, Lambda, SQS, EventBridge (Events), and API Gateway.
Databricks: Familiarity with the Databricks platform is a plus, but not mandatory.
AI Tooling: Super savvy at utilizing AI tools to accelerate coding, testing, and documentation tasks.