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Randstad Technologies jobs

Lead PySpark Engineer

£42,000 - 75,000
Randstad Technologies
Throgmorton Avenue 10, London
£42,000 - 75,000
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Lead
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Expert in PySpark - Proficient in clean Python code and SOLID principles - Experience with AWS services: EMR, Glue, S3, Athena, IAM, Lambda - Strong knowledge of Data Modeling, including SCD Type 2, Fact/Dimension tables, Data Vault/Star Schema - Proficient in reading and debugging SAS (Base, Macros, DI Studio) - Familiar with Git-based workflows, Jenkins/GitLab CI, and Terraform - Experience in engineering leadership and team collaboration - Strong problem-solving and performance tuning skills

Technologies

Lambda
CI/CD
Data Vault
GitLab
Jenkins
PySpark
SAS

Responsibilities

- Design and develop complex ETL/ELT pipelines and Data Marts using PySpark, EMR, and Glue - Architect the conversion of SAS Base/Macros into modular, testable Python code using SAS2PY and manual refactoring - Optimize Spark execution (partitioning, shuffling, caching) to ensure cost-efficient processing of massive financial datasets - Implement rigorous CI/CD, unit testing, and data reconciliation frameworks to ensure penny-perfect accuracy

Description


We are seeking a PySpark Engineer Lead to drive the migration of legacy SAS analytics to a modern cloud-native PySpark ecosystem on AWS. This role involves refactoring complex procedural logic into scalable, production-ready distributed pipelines within a Tier-1 financial services environment. We foster a culture of engineering excellence and innovation, aiming to deliver high-quality results. Join our dynamic team and take on challenging projects in a fast-paced, collaborative environment.
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