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 strong 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 reconciliation needs Work hands-on with MDM and related systems to implement quality controls Ensure data consistency and accuracy across the enterprise data landscape Stakeholder Collaboration &

Requirements Gathering Participate in requirements gathering sessions with business users Elicit and document data quality requirements from stakeholders Present data quality findings in a business-friendly format Conduct meetings with large audiences independently Work effectively with business users across multiple regions and time zones Continuous Improvement Identify opportunities to enhance data quality processes and controls Contribute to the evolution of data quality maturity in the organization Support the long-term data quality roadmap Stay current with data quality best practices and emerging technologies Required Qualifications Experience Minimum 4 - 8 years of total experience in data quality, data development, or related fields Preferably in an MDM and data governance environment Proven track record of implementing data quality solutions and controls Experience working with business stakeholders across multiple regions Technical Skills Data Quality Platforms: Hands-on experience with at least one platform such as Informatica, Talend, Alation, or similar tools SQL: Advanced SQL proficiency for data analysis, profiling, and quality checks ETL: Strong ETL development skills for data integration and transformation Data Visualization: Proficiency in creating Power BI reports and dashboards Data Profiling: Experience with data profiling tools and techniques System Integration: Understanding of data synchronization and integration patterns Communication &





• Collaboration Excellent verbal and written communication skills Ability to translate technical concepts into business-friendly language Experience presenting to diverse audiences including business stakeholders and leadership Proven ability to conduct meetings with large audiences independently Strong requirements elicitation and documentation skills Comfortable working across global teams and time zones Problem-Solving &

• Analytical Skills Strong analytical mindset for identifying root causes of data quality issues Ability to troubleshoot complex data quality problems Experience with incident management and resolution processes Detail-oriented with focus on accuracy and quality Preferred Qualifications Multi-Domain MDM Experience: Experience working with customer, supplier, contact, or item master data domains Manufacturing Industry: Background in manufacturing industry, particularly across multiple countries ServiceNow: Experience using ServiceNow for incident management and meeting SLAs Roadmap Planning: Ability to understand long-term roadmaps and contribute to data quality maturity evolution Certifications: Data quality or data management certifications (e.g., CDMP, vendor-specific certifications) * Additional Tools: Experience with data governance tools, metadata management platforms, or data catalogs Work Authorization No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1,

H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Equal Chance Employer We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status

(including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.

📌 Quality Data Analytics Specialist (Pune)
🏢 Vertiv
📍 Pune