Enterprise Agent Performance Management Engineer responsible for configuring SAP components for insurance firm. Collaborating with multiple teams and utilizing data engineering skills for project success.
Responsibilities
Configure SAP Agent Performance Management components including compensation rules, crediting logic, hierarchies, rate tables, workflows, and user access roles.
Support SAP APM calculation cycles, simulations, troubleshooting, and payout validation.
Build automated extracts, interfaces, and batch feeds from SAP APM to downstream systems.
Develop formatted operational and regulatory reports using Power BI, Tableau, SAC, SSRS, or Crystal Reports.
Design and maintain ETL/ELT pipelines for SAP APM outputs using ADF, Informatica, or similar tools.
Create secure and reliable outbound data delivery via APIs, SFTP, or managed file transfer platforms.
Implement data validation, reconciliation checks, and quality controls for all feeds and reports.
Maintain clear lineage from SAP APM to downstream outputs with full audit readiness.
Optimize extraction logic for performance, reliability, and scalability.
Build and manage scheduling, monitoring, and alerting for APM-related data pipelines.
Collaborate closely with Compensation, Finance, Actuarial, Distribution, and Operations to translate business needs into APM configuration and data delivery solutions.
Document APM configuration changes, feed specifications, mappings, and technical/data definitions.
Requirements
Bachelor’s degree in computer science, Engineering, Information Systems, or equivalent experience
3–7 years of experience with SAP APM or SAP Commissions/Sales Performance Management or Callidus Cloud
Hands-on experience configuring compensation rules, hierarchies, rate tables, workflows, and effective-dated structures in SAP/Callidus Commissions/Sales Performance Management
Strong SQL skills and understanding of data warehousing and data model design
Experience developing extracts and outbound feeds (CSV, TSV, XML, JSON etc.) via APIs, SFTP, or batch frameworks
Practical experience with ETL/ELT platforms such as Informatica, ADF
Experience producing formatted reports using Power BI, SAC, Tableau, SSRS, or Crystal Reports
Strong data validation and reconciliation skills with high attention to accuracy
Familiarity with scheduling/orchestration tools
Strong communication skills and ability to work cross-functionally with business teams
Benefits
health insurance
dental coverage
mental health benefits
vision insurance
short- and long-term disability
life and AD&D insurance coverage
adoption/surrogacy and wellness benefits
employee/family assistance plans
retirement savings plans (including pension and a global share ownership plan with employer matching contributions)
financial education and counseling resources
generous paid time off program including holidays, vacation, personal, and sick days
Senior Data Engineer designing and building data systems to power analytics at MealSuite. Collaborating with teams to ensure reliable data for reporting and decision - making.
Data Engineer developing scalable data pipelines for Bitcoin mining software, supporting compute infrastructure, and influencing company - wide strategy.
Senior Data Engineer at JLL leveraging advanced technical expertise for AI - powered solutions. Designing frameworks and mentoring engineers to achieve strategic business outcomes.
Principal Data Architect at HostPapa focusing on shaping data architecture and insights for CloudBlue’s platform. Collaborating across teams to build AI - driven solutions in a cloud - native environment.
Data Warehouse Tester/Developer needed in Toronto, ON (hybrid). 6 - 8 years exp. with Databricks, PySpark, Python, SQL, Azure, ADF, DevOps, Informatica.
Senior Data Engineer leading scalable data infrastructure design at Spellbook. Collaborating with distributed teams to transform contract data into actionable insights.
Data Engineer role focused on building and optimizing data pipelines within Microsoft Fabric at AIM. Collaborating closely with analysts and developers to deliver scalable data solutions.
Senior Software Engineer focusing on data engineering and machine learning for Workday. Involves data ingestion, governance, and collaboration using modern technologies.
Hiring Data Warehouse Tester/Developer in Toronto, ON (Hybrid). Requires 6 - 8 years exp in Databricks, PySpark, Python, SQL, Azure, ADF, DevOps, Informatica.