Data Engineer

Career Category

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