Data Engineer

We are seeking a skilled

Reltio MDM Developer with 5-8

years of experience 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 Roles & Responsibilities:

• 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.

Functional Skills: Must-Have Skills:

• 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

Good-to-Have Skills:

• Experience with PySpark, Databricks, Databricks workflow and large-scale data processing
• Experience with AWS cloud services (S3, Lambda, Glue, etc.)
• Experience with PostgreSQL or similar databases
• Exposure to GenAI / MCP/AI-driven data use cases
• Experience with Reltio Integration Hub (RIH)
• Familiarity with Agile tools (JIRA, Confluence)

Education and Professional Certifications

• Master's/Bachelor’s degree in computer science and engineering preferred, other Engineering field is considered with 5-8 years' experience
• AWS Certified Data Engineer preferred
• Databricks Certificate preferred
• Reltio MDM Certification
• Data Engineering / SQL Certifications

Soft Skills

• Strong analytical and problem-solving skills
• Excellent communication with technical and business stakeholders
• Ability to work in global, cross-functional teams
• Strong ownership and accountability

Preferred Experience

• Experience in end-to-end Reltio MDM implementations & Operations
• Experience in regulated Pharma/Life Sciences environments
• Exposure to large-scale MDM transformations