Lead PySpark Engineer (Cloud Migration)Role Type: 5-Month ContractLocation: Remote (UK-Based)Experience Level: Lead/Senior (5+ years PySpark)Role OverviewWe are seeking a Lead PySpark Engineer to drive a large-scale data modernisation project, transitioning Legacy data workflows into a high-performance AWS cloud environment. This is a hands-on technical role focused on converting Legacy SAS code into production-ready PySpark pipelines within a complex financial services landscape.Key ResponsibilitiesCode Conversion: Lead the end-to-end migration of SAS code (Base SAS, Macros, DI Studio) to PySpark using automated tools (SAS2PY) and manual refactoring.Pipeline Engineering: Design, build, and troubleshoot complex ETL/ELT workflows and data marts on AWS.Performance Tuning: Optimise Spark workloads for execution efficiency, partitioning, and cost-effectiveness.Quality Assurance: Implement clean coding principles, modular design, and robust unit/comparative testing to ensure data accuracy throughout the migration.Engineering Excellence: Maintain Git-based workflows, CI/CD integration, and comprehensive technical documentation.Technical RequirementsPySpark (P3): 5+ years of hands-on experience writing scalable, production-grade PySpark/Spark SQL.AWS Data Stack (P3): Strong proficiency in EMR, Glue, S3, Athena, and Glue Workflows.SAS Knowledge (P1): Solid foundation in SAS to enable the understanding and debugging of Legacy logic for conversion.Data Modeling: Expertise in ETL/ELT, ..... full job details .....