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QA Engineer- 8+ yrs- Hartford, CT OR Minneapolis, MN- Onsite

Hartford, CT, US • Posted 3 hours ago • Updated 1 hour ago

Contract Corp To Corp

Contract W2

Contract Independent

6 Months

No Travel Required

On-site

Depends on Experience

iMedhas Consulting Services

Fitment

Dice Job Match Score™

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Job Details

Skills

Data quality testing Semantic model validation Automated testing frameworks Financial and accounting reconciliation testing Knowledge graph and ontology quality assurance

Summary

Job Description:

Responsible for validating data products, semantic models, ontologies, and knowledge graph implementations. Preferred Experience Data quality testing Semantic model validation Automated testing frameworks Financial and accounting reconciliation testing Knowledge graph and ontology quality assurance

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91143549
Position Id: 4887-31204-1788975385
Posted 3 hours ago

Company Info

About iMedhas Consulting Services

Welcome to iMedhas Consulting Services. We are an IT consulting and services enterprises with precision expertise in Digital Transformations, Big data and Analytics. Through our expert team, we provide greater adaptabilities to disseminate with new technologies to increase the overall productivity, operational efficiency, and productivity of a particular business process of an organization.

The goal is the achievement of higher customer satisfaction and providing lucrative returns on investment to the business. On the other hand, we deliver content management expertise, ERP (SAP) systems integration, EAI, and Information Management services.

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Hartford, Connecticut

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Job Description: Responsible for building scalable data products and data pipelines. Preferred Experience Data engineering and ELT/ETL development Python, SQL, Spark Financial data processing Cloud-native data platforms Performance optimization and automation

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