Must have experience with: developing and managing scalable ETL pipelines, collaborative analytics workflows, and production-grade data solutions using PySpark; Leveraging AWS S3 for storage and integration; Writing advanced SQL queries for data extraction, transformation, and analysis within large-scale data environments; Designing and implementing logical an physical data models; Applying best practices for schema design; Maintaining enterprise-level data warehouses with reliable ETL processes; Orchestrating, monitoring, and optimizing big data pipelines for the ingestion, transformation, and quality assurance of high-volume data across distributed computing frameworks; and. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.