IICS - IDMC Data Engineer

IICS - IDMC Data Engineer Location Cincinnati OHIO USA Onsite Technical Skills Primary Informatica experience of atleast 5 years and 2 years in IDMC Strong understanding of Informatica Intelligent Data Management Cloud IDMC including CDI and data integration concepts Good knowledge of Snowflake architecture data modeling data ingestion and data transformation concepts Experience gathering analyzing and documenting business and functional requirements for data engineering initiatives Ability to perform impact analysis across source systems ETL processes and reporting platforms Strong SQL skills for data analysis data validation and troubleshooting Understanding of Data Warehousing concepts Dimensional Modeling and ETLELT methodologies Experience working with Agile methodologies user stories backlog grooming and sprint planning Knowledge of data integration workflows and enterprise data architectures Experience creating functional specifications process flows and solution documentation Ability to coordinate between business stakeholders architects developers and QA teams Experience supporting solution validation UAT and requirement traceability Familiarity with Azure AWS or GCP cloud data platforms Technical Skills Secondary Nice to have NOT MANDATORY Exposure to Informatica Data Quality Data Governance or Metadata Management solutions Knowledge of Python or scripting for data analysis Familiarity with Jira Azure DevOps Confluence or similar project management tools Understanding of Data Quality Data Governance and Master Data Management concepts Experience in Insurance or Financial Services domain Soft Skills Strong communication and stakeholder management skills Excellent analytical and problemsolving abilities Ability to translate business requirements into technical requirements Strong documentation and presentation skills Ability to facilitate discussions between business and technical teams Collaborative mindset with strong interpersonal skills Ability to manage multiple priorities and work in a fastpaced environment Proactive attitude with strong ownership and accountability

Qualifying Questions 1Does the candidate have around 7 years of experience gathering analyzing and documenting business and functional requirements for Data Engineering ETL or Data Warehouse projects 2Does the candidate have working knowledge of Informatica IDMCIICS Snowflake SQL and Data Warehousing concepts including data modeling and ETLELT processes 3Does the candidate have experience working with Agile methodologies and coordinating requirements between business stakeholders architects developers and QA teams Need to productive by 03rd Aug 2026 without visa issues

Mandatory Skills : IICS - IDMC

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks:

Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer : The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.