ob Title: Lead Data Engineer (Azure Databricks)
Location : Tampa / Austin
Preferred: Tampa / Austin
Alternate: Toronto
Work Mode: Onsite
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Experience Required
10+ years of experience
Role Level: Lead Engineer
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Role Overview
We are looking for a Lead Data Engineer / Data Scientist with strong expertise in Azure Databricks and Python to build and implement sales forecasting models for CPG (Consumer Packaged Goods) clients.
This role involves working with customer sales history data to develop daily and weekly product/store-level forecasting models. The work focuses on standard, scalable machine learning approaches rather than highly complex modeling.
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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 level
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
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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
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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
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