Data Engineer

Required Skills (Must-Have)

• 6+ years of total experience in Master Data Management (MDM)
• 35 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 Reltios 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.-