Data Platform Engineer - SAS

Data Platform Engineer - SAS

Posted 2 days ago by GIOS Technology

Apply
Negotiable
Undetermined
Hybrid
Telford, England, United Kingdom
Apply
Agile Methodology Azure Kubernetes Service Data Modeling Data Virtualisation Denodo DevOps Docker (Software) Extract Transform Load (ETL) Git (Version Control System) Jenkins JIRA Kubernetes Platform Tools SAS (Software) Scrum (Software Development) SQL (Programming Language) Talend Version Control Virtualisation Visual Analytics

Summary: The Data Platform Engineer - SAS role focuses on leveraging strong expertise in SAS technologies and data analytics to support platform operations. The position requires hands-on experience with ETL tools and familiarity with DevOps practices. The role is hybrid, requiring two days per week in the office in Telford. Candidates should possess a solid understanding of Agile methodologies and version control systems.

Key Responsibilities:

  • Utilize SAS 9.4 and SAS Viya for data analytics and reporting.
  • Support platform tools such as LSF, Jira, and enterprise platform operations.
  • Implement and manage ETL processes using tools like Pentaho and Talend.
  • Work with data virtualization technologies, specifically Denodo.
  • Develop and maintain strong SQL and data modeling capabilities.
  • Apply DevOps practices and tools including Jenkins, Docker, and Kubernetes.
  • Collaborate within Agile and Scrum frameworks.

Key Skills:

  • SAS
  • ETL
  • DevOps
  • SQL
  • Jenkins
  • Docker
  • Kubernetes

Salary (Rate): undetermined

City: Telford

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

I am hiring for Data Platform Engineer - SAS

Location: Telford - Hybrid / 2 days Per week in office

Strong experience with SAS 9.4 (DI) and SAS Viya 3.x (SAS Studio, Visual Analytics, Visual Investigator). Experience supporting platform tools such as LSF, Jira, and enterprise platform operations. Proficiency with version control systems (Git). Strong hands-on experience with ETL tools such as Pentaho and Talend. Experience with data virtualization technologies such as Denodo. Expertise in SAS-based data analytics and reporting. Strong SQL and data modeling skills. Working knowledge of DevOps practices and tools such as Jenkins, Docker, and Kubernetes. Strong understanding of Agile and Scrum frameworks.

Key Skills: SAS / ETL / DevOps / SQL / Jenkins / Docker / Kubernetes

Apply
Similar Jobs
Loading data...