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Known global employer, metro location, common data-engineering skillset, and broad requirements drive high competition.
Big-data engineering skills are transferable, but GCP/Databricks and pipeline operations require domain-specific experience.
Explicit 10-year requirement and 6+ years big-data skills make shortlisting highly strict.
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Own and manage development, support, and operation of data ingestion pipelines and related assets in cloud (GCP) and on-premises environments.
Ensure pipeline quality, operational resilience, SLA compliance, and coordinate root cause analysis and remediation of failures or anomalies.
Lead and mentor junior engineers; prioritize and organize daily engineering workload and incident management activities.
Bachelor’s degree in Computer Science, Engineering, Statistics, or related field.
10 years of data engineering experience including 6+ years with Big Data technologies (e.g., Spark, Hive, Hadoop, Databricks).
Proven experience in pipeline development, monitoring, and operational incident resolution.
Work location: Hybrid role with minimum of two days per week in-person at assigned TransUnion office.
Senior-level engineer comfortable leading technical delivery and managing day-to-day engineering operations in complex data environments.
Experienced in building and maintaining scalable data pipelines with strong adherence to governance and SLA standards.
Able to collaborate with cross-functional teams (data scientists, analysts), proactively manage dependencies, and drive continuous operational improvements.