Go Make It!
SLC Technical Consultant
Location
United States
Posted
21 hours ago
Salary
$150K - $180K / year
Seniority
Lead
Job Description
SLC Technical Consultant
Mendix
• Perform discovery with customers to understand their existing SAS environment with the key goal of determining migration feasibility • Analysis of existing SAS programs, working with Product Development and Data Science teams to determine effort/duration requirements for any custom development • Determine customer use cases of unsupported language elements and software modules, preparing a ‘route to live’ • Attend customer stand-ups and project review meetings and be the face of Siemens’ RapidMiner SLC • Technical delivery of migration projects including but not limited to: Train customer system admins on the effective use of SLC/HUB as required. Train customer migration delivery teams on best practices for code migration. Triage technical issues to ensure prompt resolution, working with L2 support. Requirements scoping, defects analysis and working with Product Management and Engineering teams when required to oversee deployment of maintenance builds/bug fixes Document findings, assumptions, and best practices for code migration and transformation Travel to client locations on an infrequent but as-needed basis
Job Requirements
- 7+ years of hands-on SAS programming experience, with strong proficiency in:
- DATA Step and DS2
- Core and advanced PROC usage
- Data manipulation, transformation, and performance tuning
- SAS Enterprise Guide
- SAS Studio
- Solid understanding of data structures, data processing, and analytics workflows
- Experience working with complex SAS code bases including debugging and optimization
- Proficient in SQL and data querying techniques
- Strong analytical and problem-solving skills, with ability to translate business requirements into efficient SAS solutions
- Excellent documentation and presentation skills
- Knowledge of SLC supported platforms: Linux, AIX, MacOS and Solaris
- Experience with Cloud Computing technologies such as AWS/Azure/GCP/OCI
- Nice to Have:
- Experience with modern analytics or data processing languages (e.g., Python, R)
- Familiarity with containerization tools (Docker/Kubernetes)
- Knowledge of SAS on Mainframe z/OS and zLinux
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