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Tier-1 brand plus mid-level generalist title and common skillset drive moderate applicant competition.
Requires ETL, PySpark, SQL and compensation-tool experience, reducing cross-industry transferability.
Mandatory ETL, SQL, and incentive-compensation tool experience plus certification creates strict screening.
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Design, develop, and troubleshoot software components with a focus on secure, stable, and scalable solutions within an agile Employee Platforms Team.
Write high-quality code using modern programming languages and leverage enterprise-authorized AI coding assist tools to improve code quality and delivery speed.
Execute testing and validation activities including ETL and database testing, and apply understanding of SDLC and agile methodologies such as CI/CD, application resiliency, and security.
Formal training or certification in software engineering with 2+ years of applied experience.
Hands-on experience in ETL and database testing, proficient in SQL and test data management.
Experience with incentive compensation tools like Callidus, Varicent, Xactly, Oracle ICM, or similar.
Work Experience Required: Minimum 2 years in software engineering or related roles.
Experienced in enterprise software development environments with knowledge of full software development lifecycle and agile practices.
Familiar with AI-assisted software development tools and responsible AI practices related to data sensitivity and security.
Has basic knowledge of AWS or other public cloud services and some exposure to modern front-end and cloud technologies.