Hybrid Lead Engineer

at Emerson

• Job title: Lead Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: ERP, Lua, Python, SQL
• Location requirements: Hybrid, Pune, India

About the role

• 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.

Benefits

• comprehensive medical and insurance coverage
• hybrid work set up
• extensive development opportunities
• competitive compensation