SLC Technical Consultant

This is a fully remote position, open to applicants in United States.

📋 Description

• Conduct discovery sessions with clients to gain insights into their current SAS environment, focusing on assessing migration feasibility.

• Analyze existing SAS programs, collaborating with Product Development and Data Science teams to evaluate effort and duration requirements for any custom developments.

• Identify customer use cases involving unsupported language elements and software modules, developing a ‘route to live’ strategy.

• Participate in customer stand-ups and project review meetings, representing Siemens’ RapidMiner SLC.

• Oversee the technical execution of migration projects, including but not limited to:

• Educate customer system administrators on the effective utilization of SLC/HUB as needed.

• Instruct customer migration delivery teams on best practices for code migration.

• Address technical issues to ensure swift resolution in collaboration with L2 support.

• Conduct requirements scoping, defect analysis, and collaborate with Product Management and Engineering teams when necessary to supervise the deployment of maintenance builds and bug fixes.

• Record findings, assumptions, and best practices related to code migration and transformation.

• Travel to client sites on an infrequent, as-needed basis.

⛳️ Requirements

• Minimum of 7 years of hands-on experience in SAS programming, demonstrating strong proficiency in:

• DATA Step and DS2.

• Core and advanced PROC usage.

• Data manipulation, transformation, and performance optimization.

• SAS Enterprise Guide.

• SAS Studio.

• Strong understanding of data structures, data processing, and analytics workflows.

• Experience with complex SAS code bases, including debugging and optimization.

• Proficient in SQL and data querying methods.

• Strong analytical and problem-solving abilities, capable of translating business requirements into effective SAS solutions.

• Excellent documentation and presentation skills.

• Familiarity with SLC supported platforms: Linux, AIX, MacOS, and Solaris.

• Experience with Cloud Computing technologies such as AWS/Azure/GCP/OCI.

• Nice to Have:

• Experience with contemporary analytics or data processing languages (e.g., Python, R).

• Knowledge of containerization tools (Docker/Kubernetes).

• Understanding of SAS on Mainframe z/OS and zLinux.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and career growth.

• Flexible work environment and remote work options.

• Comprehensive health and wellness benefits.

• Access to cutting-edge technologies and tools.