Back
Known global employer, mid-level generalist data role, metro location increases competitive density.
Core skills (Spark, Python, ETL, SQL) are highly transferable across industries.
Explicit 3–5 years requirement and mandatory Spark SQL, Python, Unix, and ETL skills enforce strict filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and optimize SQL/Spark SQL queries for data extraction, analysis, and reporting.
Support ETL setup, data validation, data quality checks, and root cause analysis.
Analyze Java logs for troubleshooting and collaborate with cross-functional teams to deliver solutions.
3+ years of experience in SQL, Spark SQL, and Unix/Linux commands.
Experience with ETL tools and data pipeline concepts required.
Bachelor’s degree in Computer Science, Information Technology, or related field preferred.
Hybrid work location: minimum two days per week onsite at assigned TransUnion office.
Intermediate proficiency in Spark SQL and Python scripting with ability to optimize complex data queries.
Experience interpreting Java logs and performing root cause analysis for data issues.
Familiarity with cloud environments (preferably GCP) and version control systems like Git.