Data Engineer

Job Description

Required Skills (Must-Have) 6+ years of total experience in Master Data Management (MDM) 3?5 years of hands-on experience on Reltio MDM (Cloud Native Platform) Expertise in: Reltio data models Match/Merge rules, external matchers Survivorship and DCR Reltio REST APIs Reltio Integration Hub (RIH) Crosswalks & entity relationships Strong understanding of JSON, RESTful services, GCP/AWS/Azure, and basic SQL Experience with ETL tools (Informatica/IICS/Talend/MuleSoft/Boomi) 1. Solution Design & Development Design end-to-end MDM solutions using Reltio Cloud Native Platform Configure entities, relations, attributes, survivorship rules, match/merge rules, and data models Build Reltio LCA (Logical Configuration Application) configurations and deploy using Reltio Console Implement match rules, identity resolution , standardization, enrichment, and crosswalk management Develop workflows , UI modelers, and DCR (Data Change Request) features Create and enhance Reltio REST API integrations 2. Integration & Data Pipelines Integrate MDM with enterprise systems such as SAP, Salesforce, Oracle, Snowflake, Informatica, MuleSoft, Boomi, Kafka, etc. Build real-time/Batch pipelines using Reltio Integration Hub (RIH) and GCP/Azure/AWS services (optional) Develop ETL/ELT jobs for inbound and outbound data loads Understand Reltio?s Data Quality rules and integration with IDQ/Informatica DQ (if applicable) 3. Data Governance & Quality Implement survivorship strategies , data validation rules, and profiling Work with data governance teams to define data stewardship workflows Monitor and improve data quality KPIs using Reltio dashboards 4. Performance & Operations Troubleshoot Reltio tenant performance issues Work on upgrade cycles , tenant migration, tenant monitoring, and pipeline debugging Optimize match rule performance , workflows, and integration throughput Interested candidates may drop their resumes over email.- [email protected]