Looking for a candidate with expertise in PySpark, Spark SQL, and working with dataframes. Must have knowledge of advanced data transformations and good understanding of SQL. The candidate should be experienced in error handling, logging, and monitoring. Knowledge of Unix and a scheduling tool is necessary. Performance tuning and generic process development skills are required. Familiarity with the banking domain is preferred. Experience in ETL estimation and Teradata BTEQ is a plus.