Data Engineer: ML Forecasting & Azure Data Platform
Summary
Builds and maintains Azure-based ELT pipelines and ML forecasting models (XGBoost, Prophet, ARIMA) to analyze HRIS data and predict workforce trends at scale.
DME Service Solutions is expanding its workforce analytics function and seeks a Data Engineer who can work across pipeline architecture and forecasting model development. The role blends HRIS data, Azure cloud infrastructure, and applied machine learning to design and maintain enterprise-scale forecasting systems.
You will build and maintain Azure-based ELT pipelines, design ML and statistical models (XGBoost, Prophet, ARIMA, regression, random forest), monitor forecast accuracy, and translate