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We are seeking a skilled Reltio MDM Developer in Master Data Management (MDM) to design, develop, and implement scalable MDM solutions on the Reltio platform. The ideal candidate will have strong expertise in Reltio configuration, Lifecycle Actions (LCA), RIH, Python-based development, and API integrations, along with domain experience in Pharma/Life Sciences.
Job Responsibility
Design and implement Reltio MDM solutions, including data models, entities, relationships, and hierarchies
Configure and develop Lifecycle Actions (LCA) for event-driven data processing and business workflows
Develop Python based custom logic/services to support Reltio integrations and extensions
Implement and manage match/merge rules and survivorship strategies for golden record creation
Build and maintain real-time and batch integrations using REST APIs, messaging, and file-based approaches
Work with RIH(Reltio Integration Hub) and Databricks with Python script frameworks for data ingestion and data publishing
Configure and manage crosswalks, reference data, and group attributes
Develop and enforce data quality rules, validation, and enrichment processes
Collaborate with data engineering, analytics, and business teams for seamless data consumption
Support data governance and stewardship workflows, including DCR lifecycle
Ensure data lineage, traceability, and compliance across MDM processes
Troubleshoot and optimize performance of Reltio implementations
Data published multiple downstream systems, need to coordinate with consuming systems for any issue
Requirements
Strong hands-on experience with Reltio MDM platform
Deep expertise in Lifecycle Actions (LCA) development and event handling in Reltio
Strong programming skills in Python (for custom logic, APIs, and integrations)
Proficiency in SQL & PySpark (advanced querying, data validation, performance tuning)
Good experience in Python for data processing and automation
Good experience in JASON scripting for L3 changes
Strong experience in API integrations (REST/SOAP) and microservices architecture
Expertise in Match/Merge and survivorship rules
Data modeling (entities, relationships, hierarchies)
Crosswalks, reference data, and golden record concepts
Experience with batch and real-time data integration patterns
Hands-on experience with Unix/Linux environments
Strong domain experience in Pharma/Life Sciences, including HCP/HCO mastering, Affiliations, Product Master / Material Master
Strong hands-on experience in Databricks, performance tuning, SQL tuning
Strong hands-on experience in Airflow and Gitlab
Nice to have
Experience with PySpark, Databricks, Databricks workflow and large-scale data processing
Experience with AWS cloud services (S3, Lambda, Glue, etc.)