Consultant - Operational Technology Data Operations

General Mills, Inc.

Mumbai

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+
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Job summary

General Mills, Inc. seeks a senior OT Data Operations engineer to design and deploy Ignition-based gateways at manufacturing sites, aligning OT with MES and analytics.

You will work with MES, IT, and site controls teams to implement ISA-95 models and scalable integration patterns with SAP and PLM, ensuring secure, reliable data flows. You will also support time-series databases, lab validation, plant commissioning, and provide extensive documentation and training materials for scalable

Qualifications

  • Bachelor’s degree in Instrumentation, Electronics, Electrical, or IT Engineering from an accredited university.
  • 10+ years of experience in Controls Engineering, Manufacturing Systems Engineering, and Data Analytics.
  • 5+ years of experience in OT Data Operations on Ignition.
  • Strong OT/industrial automation engineering experience with PLC/SCADA, historians and MES integration.

Responsibilities

  • Design, configure, and deploy Ignition-based OT Data Operations gateways at the manufacturing edge.
  • Implement sensor-to-signal workflows from PLC/SCADA to MES and analytics platforms.
  • Collaborate with MES engineers, solution architects, and site controls engineers for integration with TrakSYS and MQIS.
  • Apply ISA-95-aligned data models for assets, materials, orders, and events.
  • Partner with IT teams to design scalable integration between OT systems, SAP, PLM, and analytics platforms.
  • Support configuration, performance, and storage strategy of time-series databases (SQL Server historian, QuestDB).
  • Define monitoring, alerting, and security controls for Ignition gateways and MQTT brokers.
  • Assist site rollout activities including lab validation, plant commissioning, and troubleshooting.
  • Develop and maintain documentation and runbooks for scalable deployment.

Skills

OT Data Operations
Industrial Automation
Data Analytics
ISA-95 modeling
Python scripting
Cross-functional collaboration

Education

Bachelor’s degree in Instrumentation, Electronics, Electrical, or IT Engineering

Tools

Ignition
OPC-UA
Modbus
MQTT
SQL Server
QuestDB
TrakSYS
Jython

Job description

**OVERVIEW** The GIC Supply Chain team manages end-to-end operations, encompassing planning, sourcing, manufacturing, logistics, and analytics. They strategically plan to meet market demands, optimize sourcing, ensure efficient production, and oversee the seamless movement of goods from production to delivery. The team employs advanced analytics throughout these processes, fostering adaptability and operational excellence. This collaborative approach ensures a well-coordinated supply chain that aligns with both organizational goals and dynamic market conditions. This role requires you to operate in 1.30 pm to 10.30 pm.**KEY ACCOUNTABILITIES** * Design, configure, and deploy Ignition-based OT Data Operations gateways at the manufacturing edge, including virtual machines, Windows Server environments, plant networks, drivers, tags, MQTT brokers, historians, and security roles.* Implement and standardize sensor-to-signal workflows from PLC/SCADA connectivity through calculations and contextualization into MES and analytics platforms.* Collaborate with MES engineers, solution architects, and site controls engineers to ensure smooth integration of the OT Data Operations layer with TrakSYS MES, existing MQIS capabilities, and future MOM solutions.* Apply and maintain ISA-95-aligned data models for assets, materials, orders, and events, ensuring consistency across plants and use cases.* Partner with IT integration teams to design scalable and supportable integration patterns between OT systems, SAP, PLM, and enterprise analytics platforms.* Support the configuration, performance, and storage strategy of time-series databases, including SQL Server historian, QuestDB, and future platforms.* Define and implement monitoring, alerting, security controls, and operational runbooks for Ignition gateways, MQTT brokers, and associated infrastructure across pilot and production sites.* Support site rollout activities including lab validation, plant commissioning, troubleshooting, infrastructure sizing, and continuous improvement of deployment patterns.* Develop and maintain documentation, standards, playbooks, and training materials in partnership with Digital Controls & IS, Digital Core, plant engineering, and vendor teams to enable scalable deployment and local support.**MINIMUM QUALIFICATIONS** * Education: Bachelor’s degree in Instrumentation, Electronics, Electrical, or IT Engineering from an accredited university.* Experience: 10+ years of experience in Controls Engineering, Manufacturing Systems Engineering, and Data Analytics, including 5+ years of relevant experience in OT Data Operations on Ignition.* Technical Skills: Strong experience in OT/industrial automation engineering, including PLC/SCADA, historians, industrial networks, and manufacturing data integration/MES implementation.* Platform Expertise: Direct hands-on experience with Inductive Automation Ignition, including gateway configuration, tag historian, alarming, MQTT modules, security/SSO, Perspective, and Jython scripting.* Data & Integration Knowledge: Knowledge of ISA-95 modeling concepts, Unified Namespace (UNS), asset hierarchy, and OT-to-IT integration architecture.* System & Connectivity Skills: Hands-on experience with PLC/SCADA connectivity, protocols such as OPC-UA, Modbus, vendor-specific drivers, scripting/configuration using Python, SQL, and Ignition scripting, and Windows/Linux server environments with virtualization.* Analytical & Technical Capability: Experience with time-series databases/historians, IIoT and MQTT broker technologies, and the ability to read and interpret P&IDs, control narratives, and plant network diagrams.* Soft Skills: Strong problem-solving, cross-functional collaboration, and written/verbal communication skills, including the ability to explain technical architectures to both technical and non-technical stakeholders.* Industry Experience: Experience working in regulated or highly controlled environments such as food manufacturing, pharma, or CPG**PREFERRED QUALIFICATIONS*** Exposure to **MES platforms** such as **TrakSYS** or similar, and integration patterns with **SAP** or other enterprise systems* **GCP certification*** Background in **Mathematics or Statistics**
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