Lead the design, development, and deployment of comprehensive MDM solutions across the organization.
Demonstrate extensive experience with multiple MDM implementations.
Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively.
Implement data integration pipelines leveraging modern data engineering tools and practices.
Develop, automate, and maintain data workflows.
Build and optimize data processing solutions using Azure Data Factory (ADF), Boomi, Snaplogic, Workato and related technologies.
Ensure compliance with data governance, data privacy, and security standards.
Support CI/CD pipelines for continuous integration and deployment of data solutions.

Bachelor’s degree in computer science, Information Systems, Data Analytics, or a related field.
6+ years of experience in data engineering, with a proven track record of MDM implementations.
Strong functional knowledge of reference data sources and domain-specific data standards.
Expertise in MDM tools like Profisee, Boomi, Reltio.
Experience in data and app integration tools like Azure Data Factory, Boomi, Snaplogic, Workato.
Proficiency with SQL, Python.
Strong experience with data analysis, data profiling, data mapping, and ETL processes.
Experience with Fabric Azure cloud platform.
Familiarity with CI/CD practices, tools, and automation pipelines.
Excellent analytical skills with the ability to interpret and translate business requirements into technical specifications.
Strong attention to detail and commitment to data quality.
Effective verbal and written communication skills, with the ability to collaborate across business and technical teams.
Ability to manage multiple tasks and priorities in a fast-paced project environment.

MDM Data Engineer

Key skills