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Metro location and popular data-engineer role increase competition, moderated by hybrid work and seniority.
Data-warehouse expertise is moderately transferable, but requires specific ETL and platform experience, limiting cross-industry fit.
Senior data-warehouse role likely requires specific ETL, data modeling, and platform experience, so moderate filter strictness.
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Design, deploy, and maintain a large-scale data warehouse ecosystem and associated data marts.
Support both transactional and analytical workloads processing billions of records.
Ensure data availability, reliability, and scalability for enterprise products and executive decision-making.
Work Experience Required: Not explicitly mentioned in the JD
Must work on-site at assigned TransUnion office a minimum of two days per week (hybrid work arrangement).
Experience with large-scale data ecosystems and data warehouse technologies: Not explicitly mentioned but implied.
Mandatory degree or certifications: Not explicitly mentioned in the JD
Experienced in managing data warehouse systems that handle multi-billion record transactional and analytical workloads.
Capable of ensuring high data availability, reliability, and scalability in an enterprise environment.
Adaptable to hybrid work settings requiring both virtual and in-person collaboration.