Data Engineer

Career Category

Engineering

Job Description

We are seeking a skilled Reltio MDM Developer with 5-9 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

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