Lead Engineer facilitating Special projects under GSS HUB at Emerson, optimizing process units with innovative solutions.
Responsibilities
Facilitate the EEEC’s interests and activities for Special projects under GSS HUB.
Engage with the proposals team within Special projects, supporting proposals, design/prototype new integrated solutions and delivery for Special projects that address customer needs with optimal software placement and devising new solutions.
Design, optimize, and troubleshoot process units using simulation, control, and data analytics to improve safety, efficiency, and sustainability in operations.
Administer, maintain, and troubleshoot Aspen InfoPlus.21 (IP.21) and AspenTech inmation platforms.
Monitor system health, performance, connectivity, historization, and namespace consistency across both platforms.
Manage upgrades, patches, and platform lifecycle activities within controlled OT/IT environments.
Configure and manage data acquisition from DCS, PLC, SCADA, and ERP systems (e.g., SAP).
Enable KPI calculation, event-based analytics, contextual modelling, and digital asset representations.
Requirements
4+ years of hands-on experience implementing, supporting, or administering Aspen IP.21.
2+ years of experience working with AspenTech inmation (Industrial DataOps / Unified Namespace platform).
Bachelor’s or master’s degree in instrument, electronics, software, chemical engineering or related discipline.
Strong knowledge of Aspen IP.21 Administrator, Definition Editor, Aspen Process Explorer, Aspen SQLplus, Cim‑IO interfaces.
Proficiency with key AspenTech inmation modules: Core Namespace & Studio, Connectors (OPC UA/DA, MQTT, REST, JDBC), Agents, Scripts, and Model Objects, Historian Engine & Storage Layers, Information Modelling / Asset Structures.
Good understanding of Unified Namespace (UNS) principles, industrial data contextualization, and real-time data orchestration.
Strong SQL skills: PL/SQL, MS SQL, SSRS.
Experience with Lua scripting, Python, or equivalent automation experience.
Understanding of data governance, historian performance tuning, and large-scale data architecture.
Exposure to DCS/PLC or control systems and basic understanding of control loops, interlocks, and safety systems.
Strong analytical and problem-solving skills, with experience using data tools (Excel, Python, or similar) for analysis and reporting.
Effective written and verbal communication skills, with the ability to work in cross-functional, multi-site teams.
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