Senior IDMC Data Engineer — Informatica & Snowflake

LTM

Cincinnati (OH)

On-site

USD 110,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Comprehensive Medical Plan
Short‑Term and Long‑Term Disability
401(k) Plan with company match
Life Insurance
Vacation Time, Sick Leave, Paid Holid
Paid Paternity and Maternity Leave

Job summary

LTIMindtree is seeking an IICS - IDMC Data Engineer for onsite work in Cincinnati, OH. The role emphasizes Informatica IDMCIICS, Snowflake data modeling, SQL data analysis, and collaboration across business and technical teams.

Experience with Agile processes and documentation is required, with visa-free eligibility by August 3, 2026. The position requires coordinating with architects, developers, QA, and stakeholders to deliver data engineering solutions and ensure proper data warehouse design

Qualifications

  • Approximately 7 years of experience gathering, analyzing, and documenting business and functional requirements for Data Engineering, ETL, or Data Warehouse projects.
  • Working knowledge of Informatica IDMCIICS, Snowflake, SQL, and Data Warehousing concepts including data modeling and ETL ELT processes.
  • Experience with Agile methodologies and coordinating requirements between business stakeholders, architects, developers, and QA teams.
  • Need to be productive by 3rd August 2026 without visa issues.

Skills

Informatica IDMCIICS (IDMC) and Snowfle
SQL
Data Warehousing concepts
ETL/ELT concepts
Data integration workflows
Agile methodologies
Documentation & specs
Stakeholder coordination
Cloud platforms (Azure/AWS/GCP)

Tools

Jira
Azure DevOps
Confluence

Job description

LTIMindtree is seeking an IICS - IDMC Data Engineer for onsite work in Cincinnati, OH. The role emphasizes Informatica IDMCIICS, Snowflake data modeling, SQL data analysis, and collaboration across business and technical teams.

Experience with Agile processes and documentation is required, with visa-free eligibility by August 3, 2026. The position requires coordinating with architects, developers, QA, and stakeholders to deliver data engineering solutions and ensure proper data warehouse design

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