Identify and resolve software data quality issues
Research open-source components, security vulnerabilities, and licensing information to resolve data quality issues
Respond to and resolve customer queries related to data quality issues
Proactively maintain and ensure data accuracy according to data quality standards
Perform software composition analysis scanning for specific issue replication
Utilize internal tools, develop scripts to create tooling and automated workflows

🎯 Requirements

Degree in Computer Science, Data Science, Information Systems / related field or proven willingness to learn
6+ years’ experience in a data-driven or engineering role
Experience with scripting languages (Python, Perl, Java, Ruby)
Strong experience with SQL
Ability to work independently and as part of a team
Familiarity with version control and source control systems (e.g., Git)

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