Lead Data Engineer

Key Responsibilities
Build and deploy sales forecasting models using Azure Databricks
Analyze historical sales data to generate actionable insights
Develop daily and weekly forecasts at product and store levels.
Execute Proof of Concepts (POCs) for forecasting use cases
Work with CPG datasets (different from retail models)
Collaborate with cross-functional teams for data integration and delivery
Ensure model performance, accuracy, and scalability
Required Skills
Strong experience with Azure Databricks
Proficiency in Python for data science and ML
Experience in time-series forecasting models (ARIMA, regression, etc.)
Hands-on experience with data processing and analytics
Understanding of CPG domain (preferred, not mandatory)
Ability to build standard/vanilla ML models efficiently
Nice to Have
Experience working with large-scale data platforms on Azure
Exposure to retail or supply chain analytics
Experience in client-facing or onsite roles