Data Engineer – Industrial Automation

2 weeks ago

Bengaluru, Karnataka, India Quest Global Full time ₹ 9,00,000 - ₹ 12,00,000 per year

Job Requirements

  • Ensure that the Data needed for use cases developed on the Inmation Industrial Data Fabric is properly brought and stored within the solution.
  • Work with the Inmation Use cases Product Owner to define needed Data for the use cases
  • Set solutions to export Data from the Inmation Industrial Data Fabric to other platforms and solutions, especially Branches Data Platforms (RC DataHub, Surface Data Platform, eSpark)
  • Set interfaces to import Data from other sources when needed by use cases
  • Monitor data import, export and consumption with the Inmation Industrial Data Fabric
  • Collaborate with TotalEnergies Inmation Industrial Data Fabric team and Aspentech contractor to gather new data from OT and implement models on the solution.
  • Work with sites and users to identify data sources and inject them properly within Inmation Industrial Data Fabric.
  • Work with TotalEnergies Data community on roadmaps and Data Products implementation on Data Platforms (RC DataHub, Surface Data Platform, eSpark)

Work Experience

Bachelor degree in E&C / Computer Science with 6-10 Years of experience in Aspentech Inmation.

Business Skills

  • Oil & Gas domain knowledge (e.g., upstream/downstream operations).
  • Working on relevant use cases involving new data sources and products.
  • Collaborating with teams like Inmation Industrial Data Fabric team, Aspentech contractors, sites, users, and Customer Data community.

OT Skills

  • Gathering new data from OT sources (e.g., DCS, PLC).
  • OPC UA/DA protocols.
  • Integration with systems like Honeywell, Schneider, Yokogawa, Emerson, ABB, or other PLCs.
  • ISA95 standards for industrial data structures.
  • PI System for real-time data management.

IT Skills

  • Inmation Industrial Data Fabric solution expertise.
  • LUA scripting for data engineering within Inmation.
  • Azure / Databricks for IT-side interfaces and data handling.
  • Cognite for digital twin integration.
  • Cyber security knowledge related to data interfaces.
  • Setting up solutions for data export to platforms like RC DataHub, Surface Data Platform, eSpark.
  • Setting interfaces for data import from other sources.
  • Monitoring data import, export, and consumption.

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