Position Overview

The Data Quality Developer will play a hands-on technical role in implementing
and maintaining data quality controls, monitoring frameworks, and integration
solutions across our enterprise MDM ecosystem. This position requires a robust
technical background combined with excellent communication skills to work
effectively with business stakeholders across the globe.

Working closely with the Data Governance Council Lead, this role will be
responsible for configuring data quality platforms, implementing validation
rules and workflows, developing dashboards and reports, and remediating data
quality incidents across customer, supplier, contact, and item domains.

Key Responsibilities Data Quality Platform Configuration & Customization
Configure and customize data quality platforms to ensure optimal user
experience for data management
Implement data quality rules, validation logic, and automated controls
Develop and maintain workflows to manage reference data across systems
Build monitoring capabilities for operational processes and data quality




metrics

Data Quality Analysis & Remediation
Perform data profiling and analysis to identify data quality issues
Run reports across systems to calculate data quality dimensions
Execute data reconciliation reports across multiple systems
Remediate data quality incidents in a timely manner
Identify recurring incidents and resolve root cause issues
Manage incident resolution using ServiceNow to meet SLAs

Dashboard & Reporting Development
Implement and maintain data quality dashboards using Power BI
Create business-friendly visualizations of data quality findings
Develop reports to track quality metrics across all domains (customer,
supplier, contact, item)
Build monitoring reports for operational processes and controls

Data Integration & Synchronization
Implement data integrations to synchronize data across systems
Develop ETL processes to support data quality and reconciliatio

📌 Quality Data Analytics Specialist Pune
🏢 Vertiv
📍 Pune