IICS - IDMC Data Engineer

LTM Inc
Cincinnati, OH, United States
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Agile Methodology Amazon Web Services Data Analysis Microsoft Azure Data as a Services Information Engineering Data Integration Extract Transform Load (ETL) Data Warehousing Decision Support Systems Dimensional Modeling Scrum Methodology
+9 more
Cloud Services Standard Sql Requirements Traceability Data Streaming Google Cloud Cloud Platform System Data Ingestion Snowflake Tools for Reporting

Job description

Experteer Overview In this role you will design and deliver data integration solutions using Informatica IDM/IDMC (CDI) for data ingestion and transformation. You will work with cross-functional teams to translate business needs into technical specifications and ensure scalable data architectures in cloud ecosystems. You’ll drive data warehousing efforts, contribute to validation and UAT, and help shape data-driven decision making. This onsite opportunity in Cincinnati emphasizes collaboration, impact, and delivering reliable data services at scale. Compensation / Benefits * Gather, analyze, and document business and functional requirements for data engineering initiatives * Perform impact analysis across source systems, ETL/ELT processes, and reporting platforms * Create functional specifications, data flow/process diagrams, and solution documentation * Coordinate between business stakeholders, architects, developers, and QA teams * Support solution validation, UAT, and requirement traceability * Develop and maintain data integration workflows and data warehousing artifacts * Assist with cloud platform considerations (Azure, AWS, GCP) and data modeling tasks * Contribute to Agile rituals (backlog, sprint planning) and ensure timely delivery Tasks * Informatica IDM/IDMC experience (5+ years; IDMC 2+ years) * Strong SQL for data analysis, validation, and troubleshooting * Snowflake knowledge: architecture, data modeling, ingestion, transformation * Understanding of Data Warehousing concepts, Dimensional Modeling, ETL/ELT * Experience gathering and documenting requirements for data projects * Experience with Agile methodologies, user stories, backlog grooming, sprint planning * Ability to coordinate across stakeholders, architects, developers, and QA teams * Familiarity with cloud data platforms (Azure, AWS, GCP) Key requirements *

Requirements

validation * Develop and maintain data integration workflows and data warehousing artifacts * Assist with cloud platform considerations (Azure, AWS, GCP) and data modeling tasks * Contribute to Agile rituals (backlog, sprint planning) and ensure timely delivery Tasks * Informatica IDM/IDMC experience (5+ years; IDMC 2+ years) * Strong SQL for data analysis, validation, and troubleshooting * Snowflake knowledge: architecture, data modeling, ingestion, transformation * Understanding of Data Warehousing concepts, Dimensional Modeling, ETL/ELT * Experience gathering and documenting requirements for data projects * Experience with Agile methodologies, user stories, backlog grooming, sprint planning * Ability to coordinate across stakeholders, architects, developers, and QA teams * Familiarity with cloud data platforms (Azure, AWS, GCP) Key requirements *

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on us.experteer.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar Asrar · WWC 2024

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · WWC Europe 2026

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · WWC Europe 2026

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

Videos

See all

Related articles

See all