Inventory Planner II - Hybrid role with SAP

TechDigital Group; Wayzata (MN); Hybrid; USD 31,822 - 45,323; Full time

Job summary

An established industry player is seeking an Inventory Planner II to optimize their distribution network inventories. This role involves analyzing inventory replenishment systems and contributing to inventory plans while ensuring compliance with policies and regulations. The ideal candidate will have a strong background in inventory analysis and experience with SAP. Join a dynamic team where your skills will help shape effective inventory strategies and drive operational excellence. If you thrive in a collaborative environment and are ready to tackle challenges, this opportunity is perfect for you.

Qualifications

• 2+ years of related work experience in inventory planning.
• Strong analytical skills and experience with SAP.

Responsibilities

• Plan and analyze distribution network inventories.
• Generate cycle and safety stock plans for products.

Skills

Inventory Analysis

Problem Solving

Data Management

Education

Bachelor's degree in a related field

Tools

SAP

Job description

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, 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.