Data Engineer

Job description

Career Category Engineering

Job Description

We are seeking a skilled Reltio MDM Developer with 3-5 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 3-5 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 .