Position Overview
We are seeking an experienced Full-Stack Data & Analytics Engineer to drive the technical execution of Project Headwaters. In this role, you will design and implement robust, highly secure ETL pipelines, develop intuitive full-stack visual tools, and build automated monitoring architectures. You will play a pivotal role in centralizing confidential supplier metrics-ensuring zero data bleed-through-and establishing foundational agentic AI frameworks for dynamic supply chain scenario simulations.
Core Requirements
Database Architecture & Querying: Deep expertise in SQL for complex querying, database design, indexing, and optimization.
Backend Development & Data Engineering: Advanced Python proficiency for data transformation, pipeline building, script automation, and backend framework integration.
Frontend Web Stack: Strong fundamentals in modern Web Standards-HTML5, CSS3, JavaScript (ES6+)-to construct responsive, high-performance web applications.
Specialized Requirements
Big Data Ecosystems: Hands-on experience architecting scalable processing frameworks to ingest and transform high-volume manufacturing and metrics data.
Cloud Infrastructure & Services: Proven experience integrating directly with public Cloud services (e.g., GCP, AWS, Azure) for storage, serverless execution, and identity management.
Frontend Frameworks: Hands-on proficiency in AngularJS (or modern Angular variants) to build dynamic, single-page application (SPA) frontends and interactive visualizations.
Key Responsibilities
1. Data Engineering, Security & Pipeline Architecture
ETL Pipeline Development: Build, optimize, and maintain scalable, reliable ETL/ELT pipelines and database schemas tailored for manufacturing and supplier data.
Metrics Centralization: Ingest key confidential supplier metrics, including Units Per Hour (UPH), Cycle Time, Output, and Yield, into a secure, centralized data warehouse.
