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Strong brand, mid-level generalist data role, metro location, and common SQL/Spark skills increase competition.
Core SQL, Spark and ETL skills are highly transferable across industries.
Explicit 3+ years requirement plus mandatory SQL/Spark/Unix skills enforce moderate filtering.
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Develop and optimize SQL/Spark SQL queries for data extraction, analysis, and reporting.
Support ETL setup, data validation, and perform data quality checks with root cause analysis.
Collaborate with cross-functional teams to deliver high-quality data solutions and troubleshoot via Java log analysis.
Minimum 3+ years experience with SQL, Spark SQL, and Unix commands.
Exposure to ETL tools and data pipeline concepts required.
Bachelor's degree in Computer Science, Information Technology, or related field preferred.
Hybrid work location requirement: minimum two days/week at assigned TransUnion office.
Skilled in both data querying and data pipeline/ETL process support, indicating operational and technical versatility.
Experience working with cloud platforms like GCP or AWS (preferred but not mandatory) shows adaptability to modern data environments.
Comfortable analyzing logs and collaborating across teams, indicating ability to handle technical troubleshooting and cross-functional communication.