What are the responsibilities and job description for the Controls Engineer III position at TalentBurst, Inc.?
Job Title : Controls Engineer III
Duration : 10 Months with possible extension
Location : Columbus, IN
Top 3 to 5 'Must Have' skills and experiences :
Industrial Automation & Control Systems Experience :
Identification of machine controllers, architecture, programming and configuring control systems and integration of Robots, Cobots, IMR's and AGV with IIOT platform.
In-depth knowledge of IIOT Communication Protocols and Standards :
Networking & IT Skills :
IIOT Platform & Solutions expertise (I4.0)
Troubleshooting & Problem Solving
Strong analytical and troubleshooting skills to resolve complex communication issues between machines, PLCs, and IIOT systems & Ability to perform root cause analysis for network or connectivity failures.
Education :
Bachelor's degree in electrical / electronic engineering, control systems engineering, automation or instrumentation, mechatronics, computer science, or a related field.
Experience :
Minimum of 5-6 years of experience in industrial automation, IIOT systems, PLC programming, and IoT integrations.
Required Skill Sets for Control Engineer
Industrial Automation & Control Systems :
Identification of machine controllers (Allen Bradley, Rockwell, Beckhoff, Rexroth) and options to select the protocols and compatible OT hardware (Network translator, Gateways, Aggregators, Extension cards) for integrating IIOT applications.
Understanding of controls architecture and ISA- 95 architecture.
Able to document the AS-IS Process and TO- BE for controls implementation.
Strong skills in creating technical documentation, including system designs, integration plans, and user manuals for IIOT systems.
Expertise in programming and configuring multiple control systems like Siemens PLCs (TIA Portal), Allen-Bradley PLCs, Mazak CNC controllers, and Fanuc controllers.
Experience with integrations of machine controllers to IIOT systems and different levels of the automation stack
Ability to manage IIOT projects from planning through implementation, ensuring milestones and timelines are met.
Knowledge of integration of tightening tools controllers like Atlas Copco, DC tools, Desouter etc. with IIOT platform.
Knowledge of integration of Robots, Cobots, IMR's and AGV with IIOT platform.
2. IIOT Communication Protocols and Standards :
In-depth knowledge of industrial communication standards and protocols such as OPC UA / DA, MQTT, REST API, Ethernet / IP, Profinet, Profibus. Awareness of Device NET, Modbus TCP / IP.
Proficiency in configuring and troubleshooting OPC Servers like Kepware for data exchange between machines and IIoT platforms.
3. Networking & IT Skills :
Strong knowledge of industrial networking protocols such as Ethernet / IP, and fieldbus.
Knowledge of IP configuration, routing, VLANs, and network security practices to ensure secure IIoT systems.
4. IIoT Platform :
Expertise in Industry 4.0 (e.g., IIOT solutions, data analytics) and experience driving digital transformation programs.
In Depth knowledge and experience with multiple levels of the automation stack
Knowledge on data analytics platforms like Power BI, AI and ML technologies.
5. Troubleshooting & Problem Solving :
Strong analytical and troubleshooting skills to resolve complex communication issues between machines, PLCs, and IIoT systems.
Ability to perform root cause analysis for network or connectivity failures.
Collaborate with CFT team for trouble shooting the IIoT deployment problems.
Hours :
Regular schedule, 8 hrs / day, 5 days / week
Academic Qualifications :
Education :
Bachelor's degree in electrical / electronic engineering, control systems engineering, automation or instrumentation, mechatronics, computer science, or a related field.
Experience : Minimum of 5-6 years of experience in industrial automation, IIoT systems, PLC programming, and IoT integrations.
Expertise in data governance principles, data management, and regulatory compliance including knowledge of data governance frameworks and industry standards for data management.
Experience in cross-functional roles and stakeholders management.
Experience driving change management in large scale organizations.
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