Sr MDM Data Engineer

As a Senior MDM Data Engineer at Amgen in Hyderabad, India, you will play a crucial role in designing, developing, and implementing scalable MDM solutions on the Reltio platform. Your expertise in Reltio configuration, Lifecycle Actions (LCA), Python-based development, and API integrations, combined with domain knowledge in Pharma/Life Sciences, will contribute to the success of innovative medicines that help millions of patients. 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 - Coordinate with consuming systems for any issue related to data published to multiple downstream systems 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 for advanced querying, data validation, and performance tuning - Strong experience in API integrations (REST/SOAP) and microservices architecture - Expertise in match/merge and survivorship rules, data modeling, crosswalks, reference data, and golden record concepts - Hands-on experience with Unix/Linux environments - Strong domain experience in Pharma/Life Sciences - Good-to-Have Skills: - Experience with PySpark, Databricks, and large-scale data processing - Experience with AWS cloud services, PostgreSQL, and GenAI/MCP/AI-driven data use cases - Exposure to Reltio Integration Hub (RIH) and Agile tools (JIRA, Confluence) Education and Professional Certifications: - Master's / Bachelors degree in computer science or engineering with a minimum of 9-12 years of experience - AWS Certified Data Engineer, Databricks Certificate, Reltio MDM Certification, and Data Engineering / SQL Certifications are preferred 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 By joining Amgen, you will be part of an equal opportunity employer that values diversity and inclusion. Accommodations for individuals with disabilities are provided to ensure equal participation in the job application process and essential job functions. Contact us for accommodation requests. As a Senior MDM Data Engineer at Amgen in Hyderabad, India, you will play a crucial role in designing, developing, and implementing scalable MDM solutions on the Reltio platform. Your expertise in Reltio configuration, Lifecycle Actions (LCA), Python-based development, and API integrations, combined with domain knowledge in Pharma/Life Sciences, will contribute to the success of innovative medicines that help millions of patients. 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 -