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Tier-1 employer, generic software engineer title, and metro location increase applicant competition.
Specialized ETL testing and incentive-compensation tool experience reduce transferability across industries.
Explicit 2+ years, mandatory ETL/database testing, SQL, and niche tool experience make filters stringent.
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Design, develop, and troubleshoot software components focusing on secure, stable, and scalable solutions within an agile environment.
Write high-quality code using at least one programming language and utilize AI-assisted coding tools to improve development efficiency and code quality.
Apply knowledge of ETL, database testing, and software development life cycle processes to enhance application stability and operational effectiveness.
2+ years of applied professional experience in software engineering or related field with formal training or certification.
Expertise in ETL processes and database testing, proficient in SQL and test data management.
Experience with incentive compensation tools such as Callidus, Varicent, Xactly, or Oracle ICM.
Hands-on practical experience using enterprise-authorized AI-assisted software development tools and familiarity with software development life cycle and agile methodologies.
Experienced in system design and application development within a large corporate or enterprise environment.
Comfortable working with AI-assisted development tools and responsible AI engineering practices including secure handling of sensitive data.
Has foundational knowledge of AWS or other public cloud services and exposure to cloud technologies and agile CI/CD workflows.