Responsibilities & Key Deliverables

Automation Ideation and Technology:

Leading shop floor, machine, and process studies, discussing and supporting optimized solutions. Understand the data inputs available from machines, processes etc. and co-relate with objectives associated with specific projects, Automation, and integrated workflows, to enable data fidelity and collection of data at source.

Work with following areas:   IoT  sensors, actuators & interfaces, Data extraction and edge calculations, Parameter sampling validation and storage, Embedded controls, Edge analysis sampling and data normalization, Scenario creation for prediction of faults & performance,  Data transformation and transfer, Edge Analytics with signal-data transformation, Scenario creation for Machine-Line-Shop, Manufacturing Analytics – Machines & Processes, Derive the visualization and interfaces for a range of manufacturing digitization initiatives.

 Consolidation of Data generating device methods, Sensorics for Power/Machine and Process visualisation, Cycle based standardisation for machines, Data categorisation for MES terminals and Manufacturing devices, Enablement of data input from key touch points in manufacturing value chain, Supplier Process data transfer, etc. Technology evaluation for projects & standardisation of digital interface (hardware/software/embedded) modules for shop data integration.

Projects & Sustainenace: Project planning and Management, (using MS Project or similar tools). Engagement details for projects, milestones in coordination with project execution team and vendors, and maintaining project tracking status across multiple projects. Deployment of MES and digitisation projects in manufacturing leading the project from initial stages to Go Live and handover to sustenance.

Interface of sustenance functions and automation of the same, to enable anticipated support on devices, applications and overall make the existing systems automated and capable of remote support through Nerve Centre.

Budget management of project and digitisation development PoCs as applicable. Project reviews with stakeholders at plant level and central coordination for the same. PR to PO coordination with Asset Management. Close coordination with all plant heads and digital champions for Scoping of machines lines and for Project deployment.

Stakeholder management of Close synchronisation with IT infra team on Server/Cloud and infrastructure requirements for projects involving compute, storage, bandwidth scaling etc. Regular interaction with plan teams, to analyses penetration of MES/Digital modules. Support to realize the KPIs of individual plants is a must. Deviation in realizing benefits to be tracked on plant related dashboards.Noting down positives of given dashboards, reports, and requirements to improve analysis are a key aspect of these interactions

Experience

8-9 years

Industry Preferred

Manufacturing OEM

Qualifications

Bachelor’s Degree (B.E. /B.Tech - Electrical/Electronics/Mechanical/Instrumentation Engineering with minimum 60% aggregate or equivalent CGPA & above

General Requirements

Technical Skillsets:

• Sensorics:                                            Digital, Analog
• PLC, HMI & SCADA:                         Ladder programming, screen designing and SCADA connectivity
• Communication protocols:           Modbus, TCP/IP, Profibus, Profinet, direct to DB
• ISA 95:                                                  Architecture and understanding
• Computer applications:                 Architecture and understanding (IIS)
• Data engineering:                            Understanding the volume and velocity of data, flow, and data types
• Data Analytics:                                  Basic concepts of learning models, application of statistical methods
• Databases:                                          Microsoft SQL Server database, Oracle 12c or above, PostgreSQL
• Reporting Tools:                               SSRS, Power BI, QlikSense
• Cloud:                                                   Azure, Amazon (AWS), Google (GCP)