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Known global employer, mid-level generalist data role in metro increases candidate competition.
SQL, Spark, and ETL skills are broadly transferable across industries.
Mandatory 3+ years plus required SQL/Spark/Unix and ETL skills enforce strict filtering.
Write and optimize SQL and 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 generate reports/dashboards using BI tools.
3+ years experience with SQL, Spark SQL, and Unix commands.
Exposure to ETL tools, data pipeline concepts, and basic understanding of cloud platforms (GCP or AWS preferred).
Bachelor’s degree in Computer Science, Information Technology, or related field.
Hybrid work location with minimum two days per week in TransUnion office (location not explicitly mentioned).
Experienced in writing complex SQL and Spark SQL queries for large datasets and ETL processes.
Comfortable working with Unix commands and version control systems like Git.
Able to analyze Java logs for troubleshooting and collaborate effectively with various teams to meet business requirements.