Whitehall Resources
SAS Data Engineer - SC Cleared
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SAS Data Engineer - SC Cleared
Whitehall Resources require a SAS Data Engineer (SC Cleared) to work with a key client on a 6 month initial contract.
*This role will be mostly remote, with visits to Telford expected twice per month.
*Inside IR35.
*Active SC clearance required.
Purpose of the Role
To design, build, and optimise data pipelines and integration processes required for migrating an SAS estate (including SAS 9.4 and Viya 3.5 components) to SAS Viya 4 on DPS AWS. The Data Engineer will ensure data integrity, performance, and compliance throughout the migration and operational phases.
Key Responsibilities
Data Pipeline Development
- Design and implement ETL processes to migrate data from legacy SAS environments to SAS Viya 4.
- Optimise data flows for performance and scalability in a cloud-native architecture.
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Integration & Transformation
- Work with SAS developers to refactor existing jobs and ensure compatibility with Viya 4.
- Implement data transformations and validation rules to maintain accuracy and consistency.
Automation & CI/CD
- Develop automated workflows for data ingestion and processing using DevOps tools (Jenkins, Git).
- Integrate data pipelines into CI/CD frameworks for continuous delivery.
Data Quality & Governance
- Ensure compliance with data governance, security, and GDPR standards.
- Implement monitoring and alerting for data quality and pipeline health.
Collaboration
- Work closely with architects, business analysts, and test teams to align data solutions with migration requirements.
- Support UAT and production readiness activities by providing test data and validation scripts.
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Required Skills & Experience
Strong experience in:
- Building and managing ETL pipelines using tools such as SAS Data Integration, Pentaho, or Talend.
- Working with SAS technologies (SAS 9.4, SAS Viya 3.x/4).
Proficiency in:
- SQL, Python, and scripting for data processing.
- Cloud platforms (AWS) and containerisation (Docker, Kubernetes).
Familiarity with:
- Data modelling, performance tuning, and large-scale data migration.
- Agile delivery and DevOps practices.
Desirable Qualifications
- Certifications in SAS, AWS Data Engineering, or equivalent.
- Experience in government or regulated environments.
- Knowledge of data virtualisation tools (e.g., Denodo).
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