Senior IoT and Automation Manager

JOB DESCRIPTION

Design IoT Solutions: tailor IoT solutions to meet specific business needs, considering factors such as data collection, network connectivity, data analysis, and data security.
Deploy IoT Devices: choose appropriate IoT devices (e.g., sensors, actuators) and connect them with operational equipment and machines to gather real-time data on performance, quality, and environmental conditions.
Develop IoT Platforms: collaborate with software engineers to create custom IoT applications and platforms tailored to manufacturing operations, including controls, visualization tools, and reporting mechanisms.
Integrate IoT Platforms with Other Systems: integrate IoT applications with other systems such as
Enterprise Resource Planning (ERP) or Manufacturing Execution Systems (MES) for continuous data exchange and improved production processes.
Manage IoT Data: develop protocols and systems to collect and store large volumes of IoT-generated data, ensuring its integrity, security and accessibility.
Analyze IoT Data: utilize data analytics tools and techniques to derive actionable insights for decisionmaking, enabling predictive maintenance, process optimization, and quality control.
Drive Continuous Improvement: lead initiatives to enhance IoT systems and processes by gathering stakeholder feedback and monitoring industry trends and best practices.
Ensure Compliance & Standards: adhere to relevant industry standards, regulations, and cybersecurity requirements throughout the design and implementation of IoT solutions.
Provide Documentation & Training: create technical documentation, user manuals, and training materials to facilitate the deployment and maintenance of IoT systems, fostering knowledge transfer and skill development within the organization.

JOB REQUIREMENT

Mandatory requirements for the job are as follows:
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related fields.
Minimum 7 years of working experience in the manufacturing field, IoT and Automation.
Proven experience in the design and implementation of IoT and Automation systems, sensorintegration, data acquisition systems and industrial communication protocols.
Proficient in implementing automation solutions with PLC, HMI, and SCADA platforms
Familiar with cybersecurity principles and best practices applying to IoT systems
Familiar with embedded systems and embedded systems programming
Familiar with Visual Studio and C#
Knowledge of IoT technologies, protocols and standards (e.g., MQTT, OPC, UA, Modbus).
Knowledge of database management (both local and in the cloud)
Knowledge of mobile app development
Good problem-solving skills, ability to troubleshoot complex technical problems and deliver complete, effective and efficient solutions
Effective communication and collaboration skills
In addition to hard requirements, it's an advantage of having the following knowledge and experience:
Cloud and edge computing platforms (e.g., AWS)
Databases (e.g., Oracle, SQL Server)
Data analysis and visualization tools (e.g., Tableau, PowerBI)

WHAT'S ON OFFER

Laptop
Insurance
Travel opportunities, Annual Leave
Allowances
Uniform
Incentive bonus
Health checkup
Training & Development
Salary review
Business Expense
Seniority Allowance
Sport Club

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

IoT, Project Management

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Job ID:

J01610

Status:

Close

Related Job:

Sales Manager

Ho Chi Minh - Viet Nam

Product

  • Sale

Manage the entire B2B sales process including identifying potential clients, making initial contact, presenting, negotiating, closing deals, and following up. Develop and maintain a client base through proactive outreach, networking, referrals, and market analysis. Understand the specific requirements and challenges of clients’ businesses to offer appropriate products or solutions that deliver tangible benefits. Lead discussions and product demonstrations with decision-makers and relevant stakeholders. Create customized proposals, engage in negotiations, and finalize agreements efficiently. Cultivate lasting connections with clients to foster recurring business and uncover fresh opportunities. Stay informed about market trends and customer preferences to anticipate demands, competitive trends, and growth avenues. Monitor sales progress and results, leveraging data to prioritize tasks and enhance conversion rates. Take charge of achieving quarterly and yearly sales goals and explore innovative strategies to boost revenue.

Negotiation

View details

Senior Engineer Manager - Technology Risk

Ho Chi Minh - Viet Nam

Product

  • Management
  • Backend
  • Data Engineering
  • Devops

Develop and implement a cohesive roadmap for strategic execution based on the company's strategic ambitions Coordinate and oversee multiple engineering teams within the organization to achieve desired outcomes Collaborate with various internal teams, including technology, risk, business, and product teams, to ensure requirements are met before and after project delivery Take responsibility for both the development and ongoing operational support of applications in production Manage cyber security updates, ensuring software versions are up to date and infrastructure is patched regularly Monitor and control investment delivery to maintain alignment between different domains and optimize spending Facilitate collaboration between engineering and risk domain experts to achieve strategic technology goals

Negotiation

View details

Senior/ Lead Data Engineer

Ho Chi Minh - Viet Nam

Outsource

  • Data Engineering
  • Python
  • Cloud

Develop pipelines on various cloud platforms such as Google Cloud Platform, AWS, and Snowflake for large enterprises. Create data models using dbt and make them accessible through layers that can be easily queried by analysts and applications. Construct data products that support automated systems, including layers for retrieval, pipelines for embedding, and interfaces for tools that agents use. Create workflows where agents oversee pipelines, address issues, conduct tests, and suggest improvements. Collaborate with teams from different backgrounds to hasten pipeline development, testing, and migration from older systems, ensuring that all changes are thoroughly checked before implementation. Establish and uphold data engineering standards for automation, continuous integration/continuous deployment (CI/CD), infrastructure as code, testing, and monitoring through code reviews. Take charge of data quality, data lineage, security, and cost management on various platforms, ensuring proper access controls and audit trails. Provide guidance to Data Engineers, evaluate their work, and serve as the representative for the data engineering team in technical conversations. Transform client business needs into technical designs and estimates for new projects.

Negotiation

View details