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Data Engineer

Data Engineer

from

Career Category

Engineering

Job Description

We are seeking a skilledReltio MDM Developer with 5-8  years of experience in Master Data Management (MDM) to design, develop, and implement scalable MDM solutions on theReltio platform. The ideal candidate will have strong expertise inReltio configuration, Lifecycle Actions (LCA), RIH, Python-based development, and API integrations, along with domain experience inPharma/Life Sciences

Roles & Responsibilities:

  • Design and implementReltio MDM solutions, including data models, entities, relationships, and hierarchies
  • Configure and developLifecycle Actions (LCA) for event-driven data processing and business workflows
  • DevelopPython based custom logic/services to support Reltio integrations and extensions
  • Implement and managematch/merge rules and survivorship strategies for golden record creation
  • Build and maintainreal-time and batch integrations usingREST APIs, messaging, and file-based approaches
  • Work withRIH(Reltio Integration Hub) andDatabricks with Python scriptframeworks for data ingestion and data publishing.
  • Configure and managecrosswalks, reference data, and group attributes
  • Develop and enforcedata quality rules, validation, and enrichment processes
  • Collaborate with data engineering, analytics, and business teams for seamless data consumption
  • Supportdata governance and stewardship workflows, including DCR lifecycle
  • Ensuredata 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 withReltio MDM platform
  • Deep expertise inLifecycle Actions (LCA) development and event handling in Reltio
  • Strong programming skills inPython(for custom logic, APIs, and integrations)
  • Proficiency inSQL & PySpark (advanced querying, data validation, performance tuning)
  • Good experience inPython for data processing and automation
  • Good experience in JASON scripting for L3 changes.
  • Strong experience inAPI 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 withbatch and real-time data integration patterns
  • Hands-on experience withUnix/Linux environments
  • Strong domain experience inPharma/Life Sciences, including:
    • HCP/HCO mastering
    • Affiliations
    • Product Master / Material Master
  • Strong hands-on experience inDatabricks, performance tuning , SQL tuning
  • Strong hands-on experience in Airflow and Gitlab

Good-to-Have Skills:

  • Experience withPySpark, Databricks, Databricks workflow and large-scale data processing
  • Experience withAWS cloud services (S3, Lambda, Glue, etc.)
  • Experience withPostgreSQL or similar databases
  • Exposure toGenAI / MCP/AI-driven data use cases
  • Experience withReltio Integration Hub (RIH)
  • Familiarity withAgile tools (JIRA, Confluence)

Education and Professional Certifications

  • Master’s /Bachelor’s degree in computer science and engineering preferred, other Engineering field is considered; with 5-8 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 inend-to-end Reltio MDM implementations & Operations
  • Experience inregulated Pharma/Life Sciences environments
  • Exposure tolarge-scale MDM transformations

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by @maxrusakovic