PySpark Engineer Lead As the Technical Lead, you will drive the high-stakes migration of legacy SAS analytics to a modern, cloud-native PySpark ecosystem on AWS. This isn''t just a lift and shift you will refactor complex procedural logic into scalable, production-ready distributed pipelines for a Tier-1 financial services environment.Core ResponsibilitiesEngineering Leadership: Design and develop complex ETL/ELT pipelines and Data Marts using PySpark, EMR, and Glue.Legacy Modernisation: Architect the conversion of SAS Base/Macros into modular, testable Python code using SAS2PY and manual refactoring.Performance Tuning: Optimise Spark execution (partitioning, shuffling, caching) to ensure cost-efficient processing of massive financial datasets.Quality and Governance: Implement rigorous CI/CD, unit testing, and data reconciliation frameworks to ensure "penny-perfect" accuracy.Technical StackEngine: PySpark (Expert), Python (Clean Code/SOLID principles).AWS: EMR, Glue, S3, Athena, IAM, Lambda.Data Modeling: SCD Type 2, Fact/Dimension tables, Data Vault/Star Schema.Legacy: Proficiency in reading/debugging SAS (Base, Macros, DI Studio).DevOps: Git-based workflows, Jenkins/GitLab CI, Terraform.Randstad Technologies is acting as an Employment Business in relation to this vacancy. ..... full job details .....