The ideal candidate will have strong experience with Python, PySpark, Apache Spark, SQL databases, and ETL processes, along with the ability to transform large volumes of structured and unstructured data into meaningful, actionable information. This role requires strong analytical and problem-solving skills, hands-on experience with data pipelines and data quality analysis, and the ability to collaborate with customers, developers, and integration partners in an Agile development environment.