SAS Data Engineer - SC Cleared

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.

SAS Data Engineer - SC Cleared

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.

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.

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).