Supply Chain Data Engineer

Required Skills

• Programming Languages: Proficiency in Python is required.
• Database Management: Knowledge of SQL and BigQuery is beneficial.
• Cloud Environments: Familiarity with Azure (especially Databricks) and GCP environments is essential.
• Data Visualization tools: PowerBI and Looker (good to know, but not mandatory)
• Development Tools: Coding: VScode, Version Control: GitHub, Work Management: Jira, Miro Board

Desired Skills

• Machine Learning: Basic understanding is advantageous but not mandatory.
• Optimization Techniques: Knowledge of linear programming (optimization/LP solver) is a plus.

Requirements:

• Coding Practices: Efficient code maintenance through unit tests and regression tests.
• Software Engineering Practices: Adherence to best practices in software engineering.