AI Data Reconciliation Specialist

Remote • Posted 3 hours ago • Updated 3 hours ago
Full Time
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Azure
  • Azure AI
  • Azure Data Factory
  • Azure Synapse Analytics
  • Azure Databricks
  • Machine Learning
  • AI Development
  • Data Reconciliation
  • Data Engineering
  • Advanced SQL
  • SQL Server
  • Oracle SQL
  • ETL
  • ELT
  • Data Pipelines
  • Data Migration
  • System Integration
  • Data Validation
  • Data Quality
  • Anomaly Detection
  • Root Cause Analysis
  • Python
  • PySpark
  • Big Data
  • Data Warehousing
  • Data Modeling
  • Automation
  • Data Governance
  • Cloud Computing
  • Analytics
  • Reporting
  • API Integration

Summary

AI Data Reconciliation Specialist - to design and implement automated, scalable, and auditable reconciliation frameworks. This role is ideal for someone with deep expertise in AI development, Azure services, and large-scale data reconciliation across complex systems.

Key Responsibilities:

Build AI-driven reconciliation pipelines (row-level, aggregate validation, anomaly detection, root-cause analysis)
Design automated, repeatable, and auditable data reconciliation frameworks
Support large-scale data migrations and system integrations
Replace manual reconciliation processes with scalable AI solutions
Develop advanced SQL queries and perform in-depth data analysis
Ensure data integrity, traceability, and auditability
Strong SQL Server & database management
Large-scale data reconciliation (migrations/integrations)
AI development and Microsoft Azure
Strong stakeholder communication (functional + technical)

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: 10530359
  • Position Id: 8930456
  • Posted 3 hours ago
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