Lead PySpark Engineer

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 Responsibilities

  • Engineering 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 & Governance: Implement rigorous CI/CD, unit testing, and data reconciliation frameworks to ensure "penny-perfect" accuracy.



Technical Stack

  • Engine: 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.

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Job Details

Company
Randstad Technologies Recruitment
Location
City, London, United Kingdom EC1A2
Employment Type
Contract
Salary
GBP 281 - 292 Daily
Posted