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Job Title: Integration Expert / Data Archiving Specialist Location:PAN India Experience:5+ Years Notice Period:Immediate / Up to 15 DaysRole OverviewWe are seeking an experiencedIntegration Expert / Data Archiving Specialistto lead and deliver enterprise-level data integration, data sourcing, and data governance initiatives. The role involves working across operational and analytical environments to deliver high-quality, analytics-ready data while ensuring compliance, data quality, and sustainability.Key ResponsibilitiesData Sourcing:Define optimal data sourcing and integration strategies with clear articulation of data requirements Data Ingestion:Design and implement sustainable integration routines to ingest, move, and consolidate data from multiple sources Data Collaboration:Partner with data governance, quality, and architecture teams to define best practices for data preparation and systemic cleansing Data Product Delivery:Deliver high-quality data packages supporting: Operational cutover Data Quality (DQ) improvements Analytics and data science consumption Project Delivery:Lead and contribute to integration initiatives, oversee team members, and document integration processes andKDDs SQL Execution:Write, optimize, and execute SQL in accordance with enterprise standards Data Archiving:Support data lifecycle management, archival strategies, and historical data accessibility Required Knowledge & ExperienceStrong experience inenterprise data integration and data archiving Hands-on knowledge ofdata governance and quality toolssuch as: Alation Anomalo Experience working withoperational and source systems , including: ServiceNow Workday Other enterprise applications Expertise in multipleintegration approaches , including: ETL Data virtualization Batch and near real-time processing Strong capabilities indata analysis, profiling, and discovery Expert-level understanding ofdata models and data structures Proficiency inSQL standards and performance optimization Analytics, Reporting & Data QualityExperience creatingdashboards and workflowsusingPower BIor similar tools Ability to generateanalytics and insights in a Data Quality (DQ) context Strong profiling and anomaly detection skills usingAnomalo Solid understanding ofdata change management , including: Data catalogs Business glossaries Data models Soft Skills & Stakeholder ManagementStrongpersuasion, influencing, and communication skillsat senior stakeholder level Proven experience working acrossoperational systems and analytics / data science environments Ability to translate complex data concepts into business-friendly insights Good to HaveExperience with data archiving frameworks and retention policies Exposure to cloud-based data platforms Knowledge of regulatory and compliance-driven data governance