Databricks Developer

Responsibilities: Data Solution Development: Design, develop, and optimize data solutions using Databricks, Spark, and related technologies.
Data Engineering: Develop and maintain data pipelines, data lakes, and data warehouses using Databricks, Delta Lake, and other tools.
Data Science: Collaborate with data scientists to deploy machine learning models and optimize data science workflows.
Performance Optimization: Optimize Spark jobs, Databricks notebooks, and data pipelines for performance and scalability.
Collaboration: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality