.Kreate

Data Engineer

• Deliver production-ready datasets and pipelines to support data science and analytics.
• Bridge the gap between ML experimentation and deployment with MLOps best practices.
• Build and deploy data-driven applications using Azure services.
• Maximize ROI on Azure investment through cloud-native architecture.
• Standardize development workflows using GitHub (version control, pull requests, CI/CD).
• Automate deployments and accelerate engineering velocity with GitHub Actions.
• Reduce bottlenecks for analysts, engineers, and data scientists by improving data accessibility and workflow efficiency.
• Enhance data quality, governance, and observability.
• Enable future capabilities such as AI, automation, and personalization.

Senior Data Engineer

Manager

• Own and optimize end-to-end manufacturing processes within IQMS, ensuring data integrity, system alignment, and operational performance across planning, production, inventory, and shipping.
• Own system workflows across: Order → Planning → Production → Inventory → Shipping → Invoicing
• Responsible for how the process actually runs—not just how it’s configured
• Work with new product development team to ensure BOM accuracy and routings / cycle times accuracy
• Align IQMS with real plant behavior: machine scheduling, labor reporting, downtime tracking
• Identify bottlenecks using ERP + shop data and drive measurable improvements in throughput, scrap, on-time delivery, and inventory turns
• Configure and maintain work orders, BOMs, routings, E-Plant structures, and inventory transactions
• Define and enforce standard operating procedures tied to ERP transactions

Senior Data Engineer

Systems Manager