Staff Reltio Data Engineer

New
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JobgetherMaster data management
Listing location: Germany; Structured job location: GermanyFull-TimeStaff
Salary not disclosed
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Job Details

Experience
At least 10 years of professional experience in data engineering, software engineering, or data architecture.
Required Skills
AWSPythonSQLGCPJavaMicrosoft AzureRESTful APIs

Requirements

  • At least 10 years of professional experience in data engineering, software engineering, or data architecture.
  • Extensive hands-on experience implementing, configuring, customizing, and developing the Reltio Connected Data Platform.
  • Deep understanding of MDM principles, including golden records, entity resolution, match and merge processes, survivorship strategies, data domains, and reference data management.
  • Experience designing and implementing Reltio data models, entity relationships, business rules, and data quality capabilities.
  • Experience integrating Reltio with enterprise applications and data platforms through REST APIs and other integration technologies.
  • Advanced SQL skills and proficiency in Python, Java, or comparable programming languages.
  • Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
  • Understanding of data architecture, data modelling, ETL/ELT processes, and distributed data platforms.
  • Experience implementing data governance, data quality management, and data stewardship practices.
  • Familiarity with CI/CD pipelines, automated testing frameworks, and software deployment processes.
  • Ability to lead complex technical initiatives, influence architectural decisions, and collaborate with cross-functional teams.
  • A bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline is preferred.

Responsibilities

  • Lead the technical design, architecture, development, and implementation of enterprise MDM solutions using the Reltio Connected Data Platform.
  • Configure and optimize Reltio data models, entity types, relationships, match and merge rules, survivorship strategies, and data quality rules.
  • Design and implement golden record management and entity resolution across multiple business data domains.
  • Develop and maintain integrations between Reltio and enterprise systems using REST APIs and other integration technologies.
  • Architect data ingestion, transformation, and synchronization processes.
  • Establish data governance, stewardship, data quality, and monitoring frameworks.
  • Troubleshoot data management and integration challenges and improve platform performance, scalability, and reliability.
  • Translate business needs into technical solutions with stakeholders, data architects, and engineering teams.
  • Define technical standards and lead architecture reviews and design sessions.
  • Mentor engineers and evaluate technologies and platform capabilities for the MDM ecosystem.
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