Role description

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

Skills

Mandatory Skills : API/Microservices RestAssured Testing, Messaging Protocols (CoAP, MQTT) Testing, MySQL
Good to Have Skills : AWS API Gateway, AWS Aurora, AWS Cloud Architecture, AWS Cloud data Testing, AWS CloudFormation, Azure AI, Azure AKS, CI/CD Architecture, Data Vault (ODS) Modeling, Dimensional Data Modeling, MS SQL Server

About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, recent productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert

📌 Specialist - Quality Engineering (Hyderabad)
🏢 LTM
📍 Hyderabad