Note: The job is a remote job and is open to candidates in USA. Mendix is a global leader in enterprise low-code app development, seeking a highly motivated individual for the Technical Consultant position. This role involves delivering services for the SLC product, focusing on migration projects and providing technical training and support to customers.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- Remote work model
- Travel to client locations on an infrequent but as-needed basis
Company Overview