Description
The posting describes a senior data engineering role focused on designing, developing, maintaining, and optimizing Databricks-based data integration and reporting solutions. The position builds ETL pipelines and datasets for reporting, analytics, and AI/ML workloads; works with Python, Spark, SQL, Delta Lake, SQL Server, SSIS, SSRS, Azure Data Factory, and related cloud data platforms; supports batch and streaming data lake architectures, data warehousing, data quality, reporting, legacy-system migration, and troubleshooting. It requires a bachelor’s degree in a relevant field, 7+ years of data integration and reporting experience, strong analytical and communication skills, Agile experience, and proficiency with AI-assisted development tools.
