Data scientist

Roles and Responsibilities :

• Develop and maintain large-scale data pipelines using Data Bricks to extract insights from various sources.
• Collaborate with cross-functional teams to design and implement machine learning models for predictive analytics.
• Design, develop, and deploy scalable data architectures to support business intelligence initiatives.
• Analyze complex datasets to identify trends, patterns, and correlations that inform strategic decision-making.

Job Requirements :

• 8+ years in Data Science, Analytics Engineering, or AI application development.
• Databricks Expertise: Strong practical background in Azure Databricks, Spark SQL, notebooks, and Unity Catalog architecture.
• GenBI Focus: Proven track record with Text-to-SQL models, semantic layer development, or AI/BI Genie Agents implementation.
Technical Stack: Advanced Python, SQL, and data pipeline concepts (Bronze, Silver, Gold layers).