Specialist - Quality Engineering

Role Overview

As an Intermediate DataOps Engineer you will design model and maintain data flows from the factory floor to enterprise or cloud platforms

You will utilize the HighByte Intelligence Hub to connect industrial devices to enterprise systems securely efficiently and at scale 1 2 3 4

Key Responsibilities

Data Orchestration Pipelines Build and manage data flows between OT systems SCADA MES Historians and IT systems Handle eventbased delivery storeandforward buffering and batch pipelines 1 2 3 4

Data Modeling Create and standardize data models eg ISA95 within the Intelligence Hub to establish a Unified Namespace UNS 1 2 3 4 5

Integration Transformation Use JavaScript for custom data transformations parse REST APIs and manage connection states 1 2 3

Protocol Translation Translate and publish data over open industrial standards such as OPCUA MQTT and Modbus 1 2

Cloud Edge Deployments Deploy edge instances manage Docker containers and streambatch data to cloud platforms AWS Azure Google Cloud or Databricks 1 2 3

Required Qualifications

Experience :5- 8 years of relevant experience in IIoT manufacturing environments or OTIT system integration

Core Technology Handson experience with HighByte Intelligence Hub or equivalent Industrial DataOpsEdge platforms eg Litmus Edge HiveMQ

Protocols Strong understanding of industrial IoT protocols like OPCUA MQTT and Modbus

Scripting Data Proficiency in writing JavaScript for payload transformations and working with SQLNoSQL databases

Architecture Familiarity with ISA95 data modeling unified namespaces and RESTful API integration

Databricks and the Intelligence Hub ITOT Convergence HighByte

Discover contextualize and deliver industrial data to Databricks with HighByte Intelligence Hubthe bridge between factory data and AIready analytics