Develop and maintain data engineering solutions using Python and SQL.
Build, support, and troubleshoot ETL/ELT processes and data pipelines.
Query, transform, validate, and analyze data within enterprise on-premises SQL environments.
Support integration of data from multiple business systems and enterprise applications.
Monitor data processes and resolve data quality, performance, and processing issues.
Collaborate with technical and business teams to support reporting requirements. Required Qualifications
Bachelor's degree in related field.
0-2 years of experience including internships, co-ops, or academic projects.
Strong foundational experience with Python for data engineering, scripting, and data transformation.
Proficiency with SQL in enterprise on-prem environments.
Exposure to enterprise technologies and large-scale data environments. Preferred Qualifications
Experience supporting reporting, analytics, or data integration initiatives.
Exposure to enterprise data management tools; WhereScape is a plus.
Familiarity with Git and Agile environments.

Pay:

$60,000.00 - $75,000.00 per year

Work Location:

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