Description
This senior data engineering role designs, develops, and maintains Databricks-based data integration, data warehousing, reporting, and analytics solutions supporting reporting and AI/ML workloads. The position focuses on ETL pipelines, batch and streaming data lake architectures, data quality, migration of legacy SSIS and SQL Server processes, and SSRS reporting, while requiring strong Python, Spark, SQL Server, Azure, and AI-assisted development skills. It also involves collaboration with business users and IT teams, documentation, Agile work, and continuous technical growth.
