Dashboard and IoT Developer

1 years

1 - 3 Lacs

Posted:1 day ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Leading Textile Yarn and Denim Cloth Manufacturing Unit Located at Sowripalayam Pirivu requires

ob Description:

We are looking for a highly skilled and motivated Dashboard and IoT Developer to join our team. The ideal candidate will have experience working with Dashboards and data visualizations, and integration with IoT systems. You will be responsible for setting up, managing, and optimizing dashboards, integrating IoT data sources, and building interactive real-time monitoring systems.

Key Responsibilities:

  • Design and implement Dashboards to visualize IoT data and other system metrics.
  • Work with data from IoT devices, ensuring proper collection, transformation, and integration with Hardware.
  • Integrate IoT platforms (e.g., MQTT, Modbus, etc.) with Visualize Software for real-time data visualization.
  • Develop and manage time-series databases (e.g., InfluxDB, Prometheus) for storing IoT data.
  • Automate data collection pipelines to ensure consistent and reliable data flow into Dashboard Applications.
  • Write and maintain queries and SQL scripts for extracting data from various sources (including IoT devices and cloud platforms).
  • Ensure high availability and optimization of Dashboards for scalability in IoT applications.
  • Implement data security measures, ensuring that sensitive data is protected in compliance with best practices.
  • Troubleshoot and resolve issues related to Grafana, IoT devices, and data flow.

Required Skills Technical Skills:

  • IoT Platforms and Protocols:
  • Experience working with IoT platforms (e.g., ThingSpeak, AWS IoT, Azure IoT Hub).
  • Familiarity with IoT communication protocols such as MQTT, CoAP, Modbus, HTTP.
  • Knowledge of edge computing and data collection from IoT devices.
  • Time-Series Databases (TSDB):
  • Experience in managing and optimizing InfluxDB, Prometheus, or other time-series databases for storing IoT data.
  • Ability to write efficient queries to retrieve data from time-series databases and use them in Grafana dashboards.
  • Data Integration & ETL:
  • Strong knowledge of data integration and ETL (Extract, Transform, Load) processes for ingesting data from IoT devices to Grafana.
  • Experience working with REST APIs or Webhooks for data ingestion.
  • Cloud Integration:
  • Experience with cloud platforms (AWS, Azure, GCP) for managing IoT data and integrating it with Grafana.
  • Familiarity with cloud IoT services like AWS IoT Core, Azure IoT Hub, or Google Cloud IoT.
  • Scripting and Automation:
  • Proficiency in Python, Bash, or other scripting languages to automate data processing and pipeline management.
  • Networking and IoT Protocols:
  • Understanding of networking concepts related to IoT, including IP networking, network security, and firewall management.
  • Experience with IoT data transport protocols like HTTP, TCP/IP, UDP, WebSockets.

Additional Skills (Optional):

  • Experience with machine learning for predictive analytics in IoT applications.
  • Knowledge of data visualization principles and UX/UI design for creating intuitive dashboards.
  • Knowledge of data encryption and security protocols for IoT systems.

Qualifications:

  • Diploma or Bachelor's degree in Electronics and Communication Engineering.
  • Fresher or 1+ years of experience and Interest in IoT implementation
  • Strong understanding of data architecture, cloud platforms, and IoT ecosystems.
  • Experience with real-time monitoring systems and data visualization tools.

Desired Traits:

  • Problem-solving mindset with the ability to work in a fast-paced environment.
  • Excellent communication and collaboration skills.
  • Passion for emerging technologies and a keen interest in IoT innovations.
  • Self-driven, proactive, and highly adaptable to new tools and technologies.

Job Type: Full-time

Pay: ₹15,000.00 - ₹25,000.00 per month

Benefits:

  • Provident Fund

Education:

  • Bachelor's (Preferred)

Work Location: In person

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