Data Engineer
1074 amgen pvt
📍 india - hyderabad india🕐 12d ago🔗 workday
Job Description
**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**
.