3 of 3 SAS Macro Jobs in London

Lead Data Engineer - Pyspark/AWS/Python/SAS - Financial Sector As a Lead PySpark Engineer, you will design, develop, and fix complex data processing solutions using PySpark on AWS. You will work hands-on with code, modernising legacy data workflows and supporting large-scale SAS … deliver production-ready data pipelines in a financial services environment. Essential Skills PySpark & Data Engineering Minimum 5+ years of hands-on PySpark experience. SAS to Pyspark migration experience Proven ability to write production-ready PySpark code. Strong understanding of data and data warehousing concepts, including: ETL/ELT, 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 Responsibilities Code 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 ...

Role: Join our client as a Lead PySpark Engineer to modernize legacy data workflows. You will lead the hands-on transition of complex SAS environments into scalable, AWS-native PySpark pipelines for a major financial services project. What You'll Do Modernize: Convert legacy SAS code into production … Warehousing (SCDs, Facts/Dimensions). AWS (Expert): Strong proficiency in S3, EMR, Glue, Athena, and IAM. Experience with Git-based CI/CD. SAS (Working Knowledge): Ability to read and debug Base SAS/Macros to translate logic into Python. Engineering: Strong Python skills with a focus ...