Data Engineer – Master Data Management
Core
Design, build, and optimize scalable data pipelines for Master Data Management (MDM) within an AWS data lake, focusing on Customer Master and Product Information Management (PIM) domains.
Role type
Senior Data Engineer (Master Data Management)
Builds
End-to-end MDM data solutions including ingestion, integration, curation, and consumption pipelines.
Domain
Healthcare / Master Data Management / Product Information Management
Required skills
Python, PySpark, Spark SQL, AWS Glue, AWS EMR, AWS S3, AWS Athena, AWS Redshift, AWS Lambda, AWS Step Functions, SQL, RDBMS (MS SQL, Oracle, Postgres), Data Modeling, Data Analysis, Agile/DevOps, Jira, Confluence, Tableau, AWS QuickSight
Preferred skills
Master Data Management (MDM) concepts and tooling, Customer Master data domains, Product Information Management (PIM) data domains, Data governance and stewardship practices
Technologies
Reltio, Stibo
Responsibilities
Design and maintain scalable data pipelines for MDM data ingestion and transformation; Implement end-to-end MDM solutions using AWS data lake services; Collaborate with governance teams on data quality, matching, and survivorship; Automate and optimize existing MDM data solutions; Perform data modeling and analysis to support downstream analytics; Configure and maintain PIM solutions for product content and lifecycle data; Utilize data cataloging tools for metadata management and lineage tracking.
Seniority
Senior, hands-on IC
