Job Description

Key Responsibilities:

• Design, develop, and maintain scalable data engineering and data warehousing solutions.
• Apply star schema and dimensional modeling concepts to build efficient data models.
• Develop complex and optimized SQL queries for data analysis and reporting.
• Build data processing and transformation solutions using Python and PySpark.
• Work extensively with the Databricks platform, including clusters, compute types, and serverless environments.
• Develop and support Databricks Apps as needed.
• Leverage AI coding assistants and emerging AI technologies to improve development efficiency and productivity.
• Support Power BI and other reporting/analytics use cases.
• Collaborate with cross-functional teams in a fast-paced environment to deliver high-quality data solutions.
• Contribute to UI or application-related initiatives when required.