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# Specialist - Data Engineering

- **Company:** LTM Inc
- **Location:** Charlotte, NC, United States
- **Salary:** $90,000.0 - $100,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Cyber Security, System Configuration, Information Engineering, Data Infrastructure, Data Integration, Data Security, Dataspaces, Monitoring of Systems, Identity and Access Management, Data Intelligence, Meta-Data Management, Node.Js, Performance Tuning, Cloud Services, Runbook, Systems Integration, Cloud Platform System, Data Lineage, Data Management, Machine Learning Operations, Api Design, Artificial Intelligence Markup Language (AIML)
- **Published:** June 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=aaf809cc83a9ae33

## About the Role

Do you have experience in Technology security practices?, Handson experience with Informatica IDMC Product Suite

Strong expertise in Data Catalog Metadata Management and Data Lineage

Experience in Platform Administration setup configuration monitoring performance tuning

Proficiency in Nodejs for API development and integrations

Exposure to AIML concepts and LLMbased solutions

Strong understanding of data integration ETLELT and cloud data platforms

Experience with cloud environments AWSAzureGCP

Knowledge of data security governance and access management, Mandatory Skills : IICS - IDMC, Informatica Administration, Informatica DATA Quality, LLMOps, Node.js

## Description

Looking for a Data Platform Administrator with strong expertise in Informatica Intelligent Data Management Cloud IDMC Nodejs and modern AILLMdriven data ecosystems The role focuses on managing data platforms enabling data cataloging lineage governance and supporting scalable cloudbased data and AI solutions, Administer and manage Informatica IDMC platform across environments

Configure and maintain data catalog lineage and metadata services

Develop and support Nodejsbased APIs and integrations

Enable and support AILLM use cases on data platforms

Monitor system performance and implement tuning and optimization strategies

Ensure data governance security and compliance standards

Integrate various data sources applications and cloud systems

Collaborate with data engineers architects and AI teams

Maintain documentation runbooks and operational best practices


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