Inventory Planner II - SAP

Mandatory skills:
1.Python
2.AWS Lambda
3.REST API's

Role Overview

· Build production-grade data pipelines using Python.

· Develop scalable AWS Lambda REST APIs using Python.

· Deliver high-impact software in hours instead of days using AI tools.

Daily 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, Event Bridge (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.